ziyuzhou02 commited on
Commit
726ed07
·
verified ·
1 Parent(s): 42d9bd8

Update leaderboard results from local eval

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Files changed (47) hide show
  1. results/aggregates/live_metadata.json +8 -8
  2. results/aggregates/live_overall_1d.csv +12 -12
  3. results/aggregates/live_overall_30d.csv +12 -12
  4. results/aggregates/live_overall_7d.csv +12 -12
  5. results/aggregates/live_overall_up_to_now.csv +12 -12
  6. results/aggregates/live_rank_1d.csv +12 -12
  7. results/aggregates/live_rank_30d.csv +12 -12
  8. results/aggregates/live_rank_7d.csv +12 -12
  9. results/aggregates/live_rank_up_to_now.csv +12 -12
  10. results/aggregates/live_release_metrics.csv +12 -0
  11. results/aggregates/live_results_by_dataset.csv +12 -12
  12. results/aggregates/metadata.json +1 -1
  13. results/aggregates/results_by_domain.csv +12 -12
  14. results/aggregates/results_by_frequency.csv +12 -12
  15. results/aggregates/results_by_prediction_length.csv +12 -12
  16. results/aggregates/results_overall.csv +12 -12
  17. results/arima/all_results.csv +1 -1
  18. results/arima/online_meta.json +7 -7
  19. results/chronos_2/all_results.csv +15 -3
  20. results/chronos_2/config.json +5 -2
  21. results/chronos_2/online_meta.json +12 -12
  22. results/chronos_bolt/all_results.csv +1 -1
  23. results/chronos_bolt/online_meta.json +7 -7
  24. results/dataset_eval_intervals.json +1 -3
  25. results/dataset_properties.csv +2 -1
  26. results/ets/all_results.csv +1 -1
  27. results/ets/online_meta.json +7 -7
  28. results/moirai_2_0/all_results.csv +1 -1
  29. results/moirai_2_0/online_meta.json +7 -7
  30. results/moving_average/all_results.csv +1 -1
  31. results/moving_average/online_meta.json +7 -7
  32. results/online_status.json +262 -17
  33. results/prequential/tasks/future-0ad15afe5e38fa01c179.json +499 -0
  34. results/prequential/tasks/future-3eca09229aa7baa49732.json +19 -3
  35. results/seasonal_naive/all_results.csv +1 -1
  36. results/seasonal_naive/online_meta.json +7 -7
  37. results/sundial/all_results.csv +1 -1
  38. results/sundial/online_meta.json +7 -7
  39. results/tabpfn_ts/all_results.csv +1 -1
  40. results/tabpfn_ts/online_meta.json +7 -7
  41. results/timesfm_2_5/all_results.csv +15 -11
  42. results/timesfm_2_5/config.json +5 -2
  43. results/timesfm_2_5/online_meta.json +13 -61
  44. results/tirex/all_results.csv +1 -1
  45. results/tirex/online_meta.json +7 -7
  46. results/toto_1_0/all_results.csv +1 -1
  47. results/toto_1_0/online_meta.json +7 -7
results/aggregates/live_metadata.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "generated_at": "2026-07-28T01:02:51.013205+00:00",
3
  "scope": "Canonical metrics-only release history when available; otherwise legacy release history plus latest allowlisted snapshots",
4
  "release_deduplication": "One row per model, dataset, data source timestamp, and prediction length",
5
  "dataset_aggregation": "Arithmetic mean over releases, then equal-weight mean over datasets",
@@ -13,8 +13,8 @@
13
  "temporal_metrics": "Per-dataset MSE stability and Kendall tau, then equal-weight mean over datasets",
14
  "num_models": 12,
15
  "num_datasets": 13,
16
- "num_model_releases": 26954,
17
- "num_unique_releases": 2668,
18
  "fixed_windows": {
19
  "1d": {
20
  "days": 1,
@@ -25,21 +25,21 @@
25
  },
26
  "7d": {
27
  "days": 7,
28
- "num_model_releases": 2490,
29
- "num_unique_releases": 208,
30
  "ranking_scope": "Cumulative release history through reference_time",
31
  "metrics_scope": "Trailing 168 hours through reference_time"
32
  },
33
  "30d": {
34
  "days": 30,
35
- "num_model_releases": 26587,
36
- "num_unique_releases": 2612,
37
  "ranking_scope": "Cumulative release history through reference_time",
38
  "metrics_scope": "Trailing 720 hours through reference_time"
39
  }
40
  },
41
  "protocol_counts": {
42
  "historical-snapshot-recompute": 22388,
43
- "prequential-v1": 4566
44
  }
45
  }
 
1
  {
2
+ "generated_at": "2026-07-28T01:18:44.818492+00:00",
3
  "scope": "Canonical metrics-only release history when available; otherwise legacy release history plus latest allowlisted snapshots",
4
  "release_deduplication": "One row per model, dataset, data source timestamp, and prediction length",
5
  "dataset_aggregation": "Arithmetic mean over releases, then equal-weight mean over datasets",
 
13
  "temporal_metrics": "Per-dataset MSE stability and Kendall tau, then equal-weight mean over datasets",
14
  "num_models": 12,
15
  "num_datasets": 13,
16
+ "num_model_releases": 26966,
17
+ "num_unique_releases": 2669,
18
  "fixed_windows": {
19
  "1d": {
20
  "days": 1,
 
25
  },
26
  "7d": {
27
  "days": 7,
28
+ "num_model_releases": 2430,
29
+ "num_unique_releases": 203,
30
  "ranking_scope": "Cumulative release history through reference_time",
31
  "metrics_scope": "Trailing 168 hours through reference_time"
32
  },
33
  "30d": {
34
  "days": 30,
35
+ "num_model_releases": 26585,
36
+ "num_unique_releases": 2611,
37
  "ranking_scope": "Cumulative release history through reference_time",
38
  "metrics_scope": "Trailing 720 hours through reference_time"
39
  }
40
  },
41
  "protocol_counts": {
42
  "historical-snapshot-recompute": 22388,
43
+ "prequential-v1": 4578
44
  }
45
  }
results/aggregates/live_overall_1d.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,MSE,RMSE,MAPE,CRPS,RTG,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days,Stability,Improvement,SignificantImprovementRate,n_datasets,n_releases,MAPE_dataset_coverage,first_release,last_release
2
- 1,Official,Chronos-2,365.2657206200182,4.511908267566168,0.27612455364608873,4.227753002868834,-5.856859140626787,0.6692335284936705,11,2608,13,32.298611111111114,1654.7754375947977,-0.494387749198131,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 2,Official,TiRex,349.26071217648513,4.388994227499688,0.2566771975346562,5.076819716087223,0.08548820144400691,0.6673125921558035,11,2599,13,32.298611111111114,1583.7838166790054,-0.2721655269759087,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 3,Official,TimesFM-2.5,364.5754970073403,4.451204675514639,0.2992422461136031,4.343426571950041,-0.11459107948032557,0.6091232961177663,11,2594,13,32.298611111111114,1655.6672181701588,-0.16105441586479755,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 4,Official,Moirai-2.0,365.0169124622171,4.589963904010589,0.7377695230384628,4.337798718464029,-17.263923068401425,0.5792654683018327,11,1850,13,26.95486111111111,1655.7964360321575,-0.16105441586479755,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 5,Official,TabPFN-TS,365.3577461603699,4.559061902478357,0.30908668444454673,4.456203941235681,-1.3178910875858176,0.5598833784587963,11,1739,13,28.95486111111111,1655.0981401635545,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 6,Official,Chronos-Bolt,364.3997195902072,4.582029349167148,0.5282940016248303,4.293632357927171,-14.450076298172664,0.5231303533753233,11,1837,13,26.95486111111111,1656.738635801921,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 7,Official,Sundial,365.3457342619628,4.5244303402689034,0.3643597234838829,4.3639502335998905,-7.231554755492622,0.5102458739366238,11,2088,13,28.95486111111111,1654.7855565467964,-0.3333333333333333,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 8,Official,Seasonal-Naive,365.2104600476604,4.591239944504143,0.6768356846640357,3.9220857896245596,0.0,0.38620998430175907,11,2439,13,32.298611111111114,1655.4562524916664,-0.11111111111111115,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 9,Official,Moving-Average,365.2496585022874,4.656388272829154,0.8076505861359738,4.50313255126603,-25.777463948199642,0.37959762038121875,11,2439,13,32.298611111111114,1655.4775752256694,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 10,Official,Toto-1.0,644.643713442877,5.978079365223166,0.3352301441214201,4.859757458485112,-35.39867701229501,0.37532648327628915,11,1864,13,26.95486111111111,2963.3024747187997,0.1111111111111111,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 11,Official,ARIMA,366.2250001096964,5.061506543222351,0.8841270994589582,4.936578689778524,-41.51774245483308,0.374754081791054,11,2439,13,32.298611111111114,1655.0111315527136,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
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- 12,Official,ETS,366.80763268454655,5.392317386005066,1.2974358048355004,5.151525808368858,-44.61573585119935,0.365917339409863,11,2439,13,32.298611111111114,1656.9739087821508,-0.16105441586479755,0.0,7,15,0.8571428571428571,2026-07-26T22:12:00+00:00,2026-07-27T21:55:00+00:00
 
1
  Rank,Status,model,MSE,RMSE,MAPE,CRPS,RTG,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days,Stability,Improvement,SignificantImprovementRate,n_datasets,n_releases,MAPE_dataset_coverage,first_release,last_release
2
+ 1,Official,Chronos-2,365.26153458491143,4.508806782656014,0.2758006734568161,4.225374416158834,-9.267085631440798,0.6691318901221182,11,2609,13,32.427083333333336,1654.7699367972152,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 2,Official,TiRex,349.2627123577972,4.394172889092384,0.25943564772242417,5.076604408512421,-2.2562785003096444,0.6673499411798246,11,2600,13,32.427083333333336,1583.7783336607527,-0.605498860309242,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 3,Official,TimesFM-2.5,364.58028553758464,4.461390225836992,0.30430276302437625,4.352585954677369,-3.699440482465691,0.6090519937400436,11,2595,13,32.427083333333336,1655.6449902571746,-0.494387749198131,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 4,Official,Moirai-2.0,365.02770022363745,4.605637444203191,0.7465274000743657,4.3443781237846135,-22.163861911169764,0.5792142184391248,11,1851,13,27.083333333333332,1655.759548624346,-0.494387749198131,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 5,Official,TabPFN-TS,365.34636512749404,4.546490310194767,0.3040375335063712,4.445842874752941,-2.316717338382573,0.5599787163761483,11,1740,13,29.083333333333332,1655.1240470206212,-0.7166099714203531,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 6,Official,Chronos-Bolt,364.38786175487684,4.574787392588392,0.5274372714337572,4.289416003475149,-17.42426144773814,0.5230915473282042,11,1838,13,27.083333333333332,1656.7763927484011,-0.7166099714203531,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 7,Official,Sundial,365.3466656136462,4.526958802376698,0.36671529079690296,4.364359113407563,-8.969701818258136,0.510328958024929,11,2089,13,29.083333333333332,1654.7829901615603,-0.6666666666666669,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 8,Official,Seasonal-Naive,365.16432316102316,4.561809419160717,0.6607223255147755,3.891467539705576,0.0,0.3863053308426569,11,2440,13,32.427083333333336,1655.5049912688048,-0.2222222222222223,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 9,Official,Moving-Average,365.2079729411658,4.625735374171247,0.7915624405307868,4.472234339605898,-24.708513168872866,0.37972960420406277,11,2440,13,32.427083333333336,1655.5265459686407,-0.494387749198131,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 10,Official,Toto-1.0,644.6522443117713,5.984322522881677,0.3388134176874154,4.862285035320435,-39.772314136229156,0.37527551064099174,11,1865,13,27.083333333333332,2963.286930272066,-0.11111111111111116,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 11,Official,ARIMA,366.19745752181115,5.04874299677734,0.8822068043590366,4.929579676915516,-43.8686239878564,0.37468660779715196,11,2440,13,32.427083333333336,1655.0885855212473,-0.605498860309242,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
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+ 12,Official,ETS,366.78355102885155,5.382273540816557,1.2971119135696512,5.146624475709964,-46.99906298471543,0.365855681304744,11,2440,13,32.427083333333336,1657.03908431783,-0.38327663808701984,0.0,7,15,0.8571428571428571,2026-07-27T02:00:00+00:00,2026-07-28T01:00:00+00:00
results/aggregates/live_overall_30d.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,MSE,RMSE,MAPE,CRPS,RTG,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days,Stability,Improvement,SignificantImprovementRate,n_datasets,n_releases,MAPE_dataset_coverage,first_release,last_release
2
- 1,Official,Chronos-2,14.192894892030905,0.8760590723684097,0.15969555803696334,0.639954160225799,23.440363183694128,0.6692335284936705,11,2608,13,32.298611111111114,136.90176067332686,0.04440031464935217,0.07692307692307693,13,2564,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
3
- 2,Official,TiRex,14.36418574780021,0.8802932379746629,0.1956399567680536,0.6739460022863609,24.54729814706571,0.6673125921558035,11,2599,13,32.298611111111114,139.6423368364359,0.04312890319640728,0.15384615384615385,13,2551,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 3,Official,TimesFM-2.5,14.24276192930934,0.8759622092580688,0.13737691256098414,0.7182456588171081,23.878653975149696,0.6091232961177663,11,2594,13,32.298611111111114,137.16117605275468,0.0459462236567646,0.23076923076923078,13,2545,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 4,Official,Moirai-2.0,17.80039305874798,0.9272661414864747,0.24139712304232708,0.6726671291577311,22.075467059167412,0.5792654683018327,11,1850,13,26.95486111111111,156.8035783658696,0.07610017545803918,0.15384615384615385,13,1850,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 5,Official,TabPFN-TS,19.518020255189608,0.975065215685523,0.20050310511032562,0.8202039127111032,18.58396463251075,0.5598833784587963,11,1739,13,28.95486111111111,164.30275700544513,0.051962360988388016,0.15384615384615385,13,1742,0.8461538461538461,2026-06-28T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 6,Official,Chronos-Bolt,18.06840372580646,0.9740602029611759,0.27427150054128613,0.7209099625951194,11.415866924491773,0.5231303533753233,11,1837,13,26.95486111111111,157.76635601019936,0.035825969903282996,0.15384615384615385,13,1837,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 7,Official,Sundial,17.440327549862847,1.0151384904050962,0.2224896607250494,0.7675380025017117,15.957661232714516,0.5102458739366238,11,2088,13,28.95486111111111,151.64467402723244,0.012476054612594916,0.3076923076923077,13,2090,0.8461538461538461,2026-06-28T23:00:00+00:00,2026-07-27T21:55:00+00:00
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- 8,Official,Seasonal-Naive,16.052059446706867,1.2339990398108671,0.36521773995988566,0.9625319620919226,0.0,0.38620998430175907,11,2439,13,32.298611111111114,142.21174656182023,0.046018481641980184,0.23076923076923078,13,2392,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
10
- 9,Official,Moving-Average,15.79758725269934,1.1416279420601088,0.34075740896040335,0.9178718330332625,3.064413612933726,0.37959762038121875,11,2439,13,32.298611111111114,142.4603819473246,0.07217076828465974,0.15384615384615385,13,2384,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
11
- 10,Official,Toto-1.0,28.761630482804637,1.6655116771370355,0.28172419900109186,0.7026755733156799,-19.108118322754315,0.37532648327628915,11,1864,13,26.95486111111111,214.2357269064539,-0.0014857970647181328,0.15384615384615385,13,1864,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-27T21:55:00+00:00
12
- 11,Official,ARIMA,15.724054112079175,1.1450586996719994,0.3479171062283872,0.9027085035160967,1.8325973216706792,0.374754081791054,11,2439,13,32.298611111111114,142.46758794362057,0.04707744461161522,0.15384615384615385,13,2384,0.8461538461538461,2026-06-27T23:00:00+00:00,2026-07-27T21:55:00+00:00
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results/aggregates/live_overall_7d.csv CHANGED
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- 7,Official,Sundial,117.14206977819096,1.843986397731032,0.18961795710762352,1.642451001378154,11.3919536067216,0.5102458739366238,11,2088,13,28.95486111111111,449.41011371075433,-0.12498432011857119,0.0,12,207,0.8333333333333334,2026-07-20T22:06:00+00:00,2026-07-27T21:55:00+00:00
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results/aggregates/live_overall_up_to_now.csv CHANGED
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- 10,Official,Toto-1.0,28.761630482804637,1.6655116771370355,0.28172419900109186,0.7026755733156799,-19.108118322754315,0.37532648327628915,11,1864,13,26.95486111111111,214.2357269064539,-0.0014857970647181328,0.15384615384615385,13,1864,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-27T21:55:00+00:00
12
- 11,Official,ARIMA,15.733829318861858,1.1479247446167327,0.34819799996480283,0.904977584703217,1.8012986509851348,0.374754081791054,11,2439,13,32.298611111111114,142.47983993925718,0.04150466980807118,0.15384615384615385,13,2439,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-27T21:55:00+00:00
13
- 12,Official,ETS,17.53415142198733,1.4094085588580054,0.31651065474455703,1.1183536437228148,-3.763221099805409,0.365917339409863,11,2439,13,32.298611111111114,147.37249678673254,0.05047158431175189,0.15384615384615385,13,2439,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-27T21:55:00+00:00
 
1
  Rank,Status,model,MSE,RMSE,MAPE,CRPS,RTG,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days,Stability,Improvement,SignificantImprovementRate,n_datasets,n_releases,MAPE_dataset_coverage,first_release,last_release
2
+ 1,Official,Chronos-2,14.194697768540445,0.8774470841187317,0.15976185957383748,0.6407993408141794,23.401195397033455,0.6691318901221182,11,2609,13,32.427083333333336,136.90284814751305,0.04113009200655818,0.15384615384615385,13,2614,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
3
+ 2,Official,TiRex,14.364403463728044,0.8807079828003128,0.19557398312229113,0.6741890359126661,24.61866735704802,0.6673499411798246,11,2600,13,32.427083333333336,139.64175721733392,0.040714121333778906,0.15384615384615385,13,2600,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
4
+ 3,Official,TimesFM-2.5,14.244929329200001,0.8774705431059275,0.137504188419526,0.7192821438986616,23.84169294590267,0.6090519937400436,11,2595,13,32.427083333333336,137.16338917931137,0.042400075903824316,0.23076923076923078,13,2595,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
5
+ 4,Official,Moirai-2.0,17.800278219967204,0.9272234444404399,0.2411856955678575,0.6726235053988276,22.051285354559713,0.5792142184391248,11,1851,13,27.083333333333332,156.80347873789486,0.0759683155442724,0.15384615384615385,13,1851,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-28T01:00:00+00:00
6
+ 5,Official,TabPFN-TS,19.517740215806068,0.9748791054556663,0.20020115950266504,0.8200547380330369,18.58585102471411,0.5599787163761483,11,1740,13,29.083333333333332,164.30275540577983,0.05143145874959751,0.15384615384615385,13,1743,0.8461538461538461,2026-06-28T23:00:00+00:00,2026-07-28T01:00:00+00:00
7
+ 6,Official,Chronos-Bolt,18.068165815410445,0.9739640790687439,0.2740029726642519,0.7208534530248618,11.39577823842845,0.5230915473282042,11,1838,13,27.083333333333332,157.76628958625213,0.03558294432138997,0.15384615384615385,13,1838,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-28T01:00:00+00:00
8
+ 7,Official,Sundial,17.440245075471925,1.0150607683810309,0.2222942037551123,0.7674828471315269,15.956432566925795,0.510328958024929,11,2089,13,29.083333333333332,151.64466362847213,0.012141109350923615,0.3076923076923077,13,2091,0.8461538461538461,2026-06-28T23:00:00+00:00,2026-07-28T01:00:00+00:00
9
+ 8,Official,Seasonal-Naive,16.053376433802207,1.2350716961682606,0.36488063719358227,0.9634262404814601,0.0,0.3863053308426569,11,2440,13,32.427083333333336,142.21200281167427,0.04244377882520375,0.23076923076923078,13,2449,0.8461538461538461,2026-06-25T14:25:00+00:00,2026-07-28T01:00:00+00:00
10
+ 9,Official,Moving-Average,15.800937984701333,1.1431325765545546,0.3404819235364128,0.9191575336248385,3.073595200293565,0.37972960420406277,11,2440,13,32.427083333333336,142.46303727685336,0.06717030203193285,0.15384615384615385,13,2440,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
11
+ 10,Official,Toto-1.0,28.761422745042537,1.6654559958721955,0.2815319806171196,0.7026484215264103,-19.132586316179825,0.37527551064099174,11,1865,13,27.083333333333332,214.23539731679713,-0.0015534471507786763,0.15384615384615385,13,1865,0.8461538461538461,2026-06-30T23:00:00+00:00,2026-07-28T01:00:00+00:00
12
+ 11,Official,ARIMA,15.733748468297168,1.1479105995328156,0.3479797943435393,0.9049756207115677,1.785933054479538,0.37468660779715196,11,2440,13,32.427083333333336,142.47973351482383,0.04146171079265974,0.15384615384615385,13,2440,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
13
+ 12,Official,ETS,17.533990160391518,1.4093733720813715,0.31626820914708725,1.118340853622594,-3.7765356400765078,0.365855681304744,11,2440,13,32.427083333333336,147.3723612966357,0.050357096096420285,0.15384615384615385,13,2440,0.8461538461538461,2026-06-25T14:45:00+00:00,2026-07-28T01:00:00+00:00
results/aggregates/live_rank_1d.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
- 1,Official,Chronos-2,0.6692335284936705,11,2608,13,32.298611111111114
3
- 2,Official,TiRex,0.6673125921558035,11,2599,13,32.298611111111114
4
- 3,Official,TimesFM-2.5,0.6091232961177663,11,2594,13,32.298611111111114
5
- 4,Official,Moirai-2.0,0.5792654683018327,11,1850,13,26.95486111111111
6
- 5,Official,TabPFN-TS,0.5598833784587963,11,1739,13,28.95486111111111
7
- 6,Official,Chronos-Bolt,0.5231303533753233,11,1837,13,26.95486111111111
8
- 7,Official,Sundial,0.5102458739366238,11,2088,13,28.95486111111111
9
- 8,Official,Seasonal-Naive,0.38620998430175907,11,2439,13,32.298611111111114
10
- 9,Official,Moving-Average,0.37959762038121875,11,2439,13,32.298611111111114
11
- 10,Official,Toto-1.0,0.37532648327628915,11,1864,13,26.95486111111111
12
- 11,Official,ARIMA,0.374754081791054,11,2439,13,32.298611111111114
13
- 12,Official,ETS,0.365917339409863,11,2439,13,32.298611111111114
 
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
+ 1,Official,Chronos-2,0.6691318901221182,11,2609,13,32.427083333333336
3
+ 2,Official,TiRex,0.6673499411798246,11,2600,13,32.427083333333336
4
+ 3,Official,TimesFM-2.5,0.6090519937400436,11,2595,13,32.427083333333336
5
+ 4,Official,Moirai-2.0,0.5792142184391248,11,1851,13,27.083333333333332
6
+ 5,Official,TabPFN-TS,0.5599787163761483,11,1740,13,29.083333333333332
7
+ 6,Official,Chronos-Bolt,0.5230915473282042,11,1838,13,27.083333333333332
8
+ 7,Official,Sundial,0.510328958024929,11,2089,13,29.083333333333332
9
+ 8,Official,Seasonal-Naive,0.3863053308426569,11,2440,13,32.427083333333336
10
+ 9,Official,Moving-Average,0.37972960420406277,11,2440,13,32.427083333333336
11
+ 10,Official,Toto-1.0,0.37527551064099174,11,1865,13,27.083333333333332
12
+ 11,Official,ARIMA,0.37468660779715196,11,2440,13,32.427083333333336
13
+ 12,Official,ETS,0.365855681304744,11,2440,13,32.427083333333336
results/aggregates/live_rank_30d.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
- 1,Official,Chronos-2,0.6692335284936705,11,2608,13,32.298611111111114
3
- 2,Official,TiRex,0.6673125921558035,11,2599,13,32.298611111111114
4
- 3,Official,TimesFM-2.5,0.6091232961177663,11,2594,13,32.298611111111114
5
- 4,Official,Moirai-2.0,0.5792654683018327,11,1850,13,26.95486111111111
6
- 5,Official,TabPFN-TS,0.5598833784587963,11,1739,13,28.95486111111111
7
- 6,Official,Chronos-Bolt,0.5231303533753233,11,1837,13,26.95486111111111
8
- 7,Official,Sundial,0.5102458739366238,11,2088,13,28.95486111111111
9
- 8,Official,Seasonal-Naive,0.38620998430175907,11,2439,13,32.298611111111114
10
- 9,Official,Moving-Average,0.37959762038121875,11,2439,13,32.298611111111114
11
- 10,Official,Toto-1.0,0.37532648327628915,11,1864,13,26.95486111111111
12
- 11,Official,ARIMA,0.374754081791054,11,2439,13,32.298611111111114
13
- 12,Official,ETS,0.365917339409863,11,2439,13,32.298611111111114
 
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
+ 1,Official,Chronos-2,0.6691318901221182,11,2609,13,32.427083333333336
3
+ 2,Official,TiRex,0.6673499411798246,11,2600,13,32.427083333333336
4
+ 3,Official,TimesFM-2.5,0.6090519937400436,11,2595,13,32.427083333333336
5
+ 4,Official,Moirai-2.0,0.5792142184391248,11,1851,13,27.083333333333332
6
+ 5,Official,TabPFN-TS,0.5599787163761483,11,1740,13,29.083333333333332
7
+ 6,Official,Chronos-Bolt,0.5230915473282042,11,1838,13,27.083333333333332
8
+ 7,Official,Sundial,0.510328958024929,11,2089,13,29.083333333333332
9
+ 8,Official,Seasonal-Naive,0.3863053308426569,11,2440,13,32.427083333333336
10
+ 9,Official,Moving-Average,0.37972960420406277,11,2440,13,32.427083333333336
11
+ 10,Official,Toto-1.0,0.37527551064099174,11,1865,13,27.083333333333332
12
+ 11,Official,ARIMA,0.37468660779715196,11,2440,13,32.427083333333336
13
+ 12,Official,ETS,0.365855681304744,11,2440,13,32.427083333333336
results/aggregates/live_rank_7d.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
- 1,Official,Chronos-2,0.6692335284936705,11,2608,13,32.298611111111114
3
- 2,Official,TiRex,0.6673125921558035,11,2599,13,32.298611111111114
4
- 3,Official,TimesFM-2.5,0.6091232961177663,11,2594,13,32.298611111111114
5
- 4,Official,Moirai-2.0,0.5792654683018327,11,1850,13,26.95486111111111
6
- 5,Official,TabPFN-TS,0.5598833784587963,11,1739,13,28.95486111111111
7
- 6,Official,Chronos-Bolt,0.5231303533753233,11,1837,13,26.95486111111111
8
- 7,Official,Sundial,0.5102458739366238,11,2088,13,28.95486111111111
9
- 8,Official,Seasonal-Naive,0.38620998430175907,11,2439,13,32.298611111111114
10
- 9,Official,Moving-Average,0.37959762038121875,11,2439,13,32.298611111111114
11
- 10,Official,Toto-1.0,0.37532648327628915,11,1864,13,26.95486111111111
12
- 11,Official,ARIMA,0.374754081791054,11,2439,13,32.298611111111114
13
- 12,Official,ETS,0.365917339409863,11,2439,13,32.298611111111114
 
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
+ 1,Official,Chronos-2,0.6691318901221182,11,2609,13,32.427083333333336
3
+ 2,Official,TiRex,0.6673499411798246,11,2600,13,32.427083333333336
4
+ 3,Official,TimesFM-2.5,0.6090519937400436,11,2595,13,32.427083333333336
5
+ 4,Official,Moirai-2.0,0.5792142184391248,11,1851,13,27.083333333333332
6
+ 5,Official,TabPFN-TS,0.5599787163761483,11,1740,13,29.083333333333332
7
+ 6,Official,Chronos-Bolt,0.5230915473282042,11,1838,13,27.083333333333332
8
+ 7,Official,Sundial,0.510328958024929,11,2089,13,29.083333333333332
9
+ 8,Official,Seasonal-Naive,0.3863053308426569,11,2440,13,32.427083333333336
10
+ 9,Official,Moving-Average,0.37972960420406277,11,2440,13,32.427083333333336
11
+ 10,Official,Toto-1.0,0.37527551064099174,11,1865,13,27.083333333333332
12
+ 11,Official,ARIMA,0.37468660779715196,11,2440,13,32.427083333333336
13
+ 12,Official,ETS,0.365855681304744,11,2440,13,32.427083333333336
results/aggregates/live_rank_up_to_now.csv CHANGED
@@ -1,13 +1,13 @@
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
- 1,Official,Chronos-2,0.6692335284936705,11,2608,13,32.298611111111114
3
- 2,Official,TiRex,0.6673125921558035,11,2599,13,32.298611111111114
4
- 3,Official,TimesFM-2.5,0.6091232961177663,11,2594,13,32.298611111111114
5
- 4,Official,Moirai-2.0,0.5792654683018327,11,1850,13,26.95486111111111
6
- 5,Official,TabPFN-TS,0.5598833784587963,11,1739,13,28.95486111111111
7
- 6,Official,Chronos-Bolt,0.5231303533753233,11,1837,13,26.95486111111111
8
- 7,Official,Sundial,0.5102458739366238,11,2088,13,28.95486111111111
9
- 8,Official,Seasonal-Naive,0.38620998430175907,11,2439,13,32.298611111111114
10
- 9,Official,Moving-Average,0.37959762038121875,11,2439,13,32.298611111111114
11
- 10,Official,Toto-1.0,0.37532648327628915,11,1864,13,26.95486111111111
12
- 11,Official,ARIMA,0.374754081791054,11,2439,13,32.298611111111114
13
- 12,Official,ETS,0.365917339409863,11,2439,13,32.298611111111114
 
1
  Rank,Status,model,WinRate,eligible_opponents,shared_releases,shared_datasets,covered_span_days
2
+ 1,Official,Chronos-2,0.6691318901221182,11,2609,13,32.427083333333336
3
+ 2,Official,TiRex,0.6673499411798246,11,2600,13,32.427083333333336
4
+ 3,Official,TimesFM-2.5,0.6090519937400436,11,2595,13,32.427083333333336
5
+ 4,Official,Moirai-2.0,0.5792142184391248,11,1851,13,27.083333333333332
6
+ 5,Official,TabPFN-TS,0.5599787163761483,11,1740,13,29.083333333333332
7
+ 6,Official,Chronos-Bolt,0.5230915473282042,11,1838,13,27.083333333333332
8
+ 7,Official,Sundial,0.510328958024929,11,2089,13,29.083333333333332
9
+ 8,Official,Seasonal-Naive,0.3863053308426569,11,2440,13,32.427083333333336
10
+ 9,Official,Moving-Average,0.37972960420406277,11,2440,13,32.427083333333336
11
+ 10,Official,Toto-1.0,0.37527551064099174,11,1865,13,27.083333333333332
12
+ 11,Official,ARIMA,0.37468660779715196,11,2440,13,32.427083333333336
13
+ 12,Official,ETS,0.365855681304744,11,2440,13,32.427083333333336
results/aggregates/live_release_metrics.csv CHANGED
@@ -874,6 +874,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:53.869942
874
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.883609+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
875
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.746758+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,ARIMA,livehouse-canonical-v1,0.42141529044457887,0.6491650717995993,0.39007032797142677,0.3945850666593647,32.60780006996913,True
876
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.241369+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,ARIMA,livehouse-canonical-v1,0.5794583301210013,0.7612216038191516,0.015966736391412134,1.2292074190830744,34.698576191742134,True
 
877
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.670454+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
878
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.119167+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,ARIMA,livehouse-canonical-v1,0.0021197263438641626,0.046040485921242866,,8.911882784835036e-05,-100.0,False
879
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.673738+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
@@ -3369,6 +3370,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:53.874216
3369
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.887842+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
3370
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.850097+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Chronos-2,livehouse-canonical-v1,0.3771529612588833,0.6141278053132616,0.41215089610455086,0.43561423082330397,37.47323611738933,True
3371
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.247172+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Chronos-2,livehouse-canonical-v1,0.4683516566869133,0.684362226227393,0.006926763911301436,0.5367500236374647,43.69460974301861,True
 
3372
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.704341+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
3373
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.213969+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Chronos-2,livehouse-canonical-v1,0.004382474507198172,0.06620026062787195,,0.10863750690341033,-100.0,False
3374
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.711712+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
@@ -5682,6 +5684,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:53.880196
5682
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.892970+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
5683
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.888043+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Chronos-Bolt,livehouse-canonical-v1,0.4186155521554542,0.6470050634697183,0.44083194096845646,0.43671991739785,32.90532898608875,True
5684
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.255029+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Chronos-Bolt,livehouse-canonical-v1,0.07327781412994146,0.2706987516224289,0.0029146311289516796,0.3262041287465982,88.44688982512645,True
 
5685
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.741116+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
5686
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.240412+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Chronos-Bolt,livehouse-canonical-v1,2.597935009148375e-06,0.0016118110959874843,,0.00350920999021313,-100.0,False
5687
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.741861+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
@@ -7763,6 +7766,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.002885
7763
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.898352+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
7764
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.928135+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,ETS,livehouse-canonical-v1,0.3495438234844452,0.5912223130806593,0.3367757560590589,0.39824699209324327,40.69314981067177,True
7765
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.260932+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,ETS,livehouse-canonical-v1,0.14945985629635522,0.38660038320771906,0.003477316648810827,0.2508169644087489,77.77086420252506,True
 
7766
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.846032+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
7767
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.271095+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,ETS,livehouse-canonical-v1,0.001978217468450932,0.04447715670376123,,8.911738989428628e-08,-100.0,False
7768
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.778503+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
@@ -9961,6 +9965,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.007826
9961
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.903205+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
9962
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.971105+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Moirai-2.0,livehouse-canonical-v1,0.37578496011616774,0.613013017901062,0.40963604076492116,0.44467222943052764,37.62930481663459,True
9963
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.266838+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Moirai-2.0,livehouse-canonical-v1,0.40126871750313703,0.6334577472121854,0.006062475510638893,0.5454834160567303,49.732367587734124,True
 
9964
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.893937+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
9965
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.318682+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Moirai-2.0,livehouse-canonical-v1,1.8520933370156609e-06,0.0013609163593019452,,0.002037226440072846,-100.0,False
9966
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.810848+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
@@ -12052,6 +12057,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.011493
12052
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.908009+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
12053
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.014114+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Moving-Average,livehouse-canonical-v1,0.4580984991841208,0.6768297416515625,0.4465149491019626,0.4373506003821698,28.82903054338424,True
12054
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.272999+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Moving-Average,livehouse-canonical-v1,1.266994543262402,1.1256085213174258,0.012776259936304595,0.9620984066989399,-2.9133476820331663,True
 
12055
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.954706+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
12056
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.357724+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Moving-Average,livehouse-canonical-v1,0.001978215778738286,0.04447713770847092,,0.0,-100.0,False
12057
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.829395+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
@@ -14493,6 +14499,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.017935
14493
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.912524+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14494
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.055918+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Seasonal-Naive,livehouse-canonical-v1,0.8292199192150201,0.9106151323226626,0.5435122747622748,0.7441363346197076,0.0,True
14495
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.278061+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Seasonal-Naive,livehouse-canonical-v1,1.1952604932309772,1.0932796957919675,0.012370948810547067,0.6990825004713552,0.0,True
 
14496
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.020245+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14497
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.401619+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14498
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.887092+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
@@ -16799,6 +16806,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.023795
16799
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.916868+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.396464537490914e-16,2.096774794175787e-08,,2.0083251503797174e-08,0.0,False
16800
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.087950+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Sundial,livehouse-canonical-v1,0.8513843008972826,0.9227048828836242,0.6362474814070032,0.6090060098861385,-1.3188341084125885,True
16801
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.283304+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Sundial,livehouse-canonical-v1,0.05351965571011857,0.23134315574513667,0.0024049103954910584,0.17334372979372323,91.42849031424778,True
 
16802
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.062451+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.264150924358538e-16,2.064982063931437e-08,,1.9573048847850756e-08,0.0,False
16803
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.442970+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Sundial,livehouse-canonical-v1,0.007574925583112103,0.08703404841274535,,0.012728168107787097,-100.0,False
16804
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.921572+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.06198233753393e-16,2.0154360167303574e-08,,2.0200247691021037e-08,0.0,False
@@ -18762,6 +18770,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.029595
18762
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.921855+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
18763
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.151225+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TabPFN-TS,livehouse-canonical-v1,0.5404735538410689,0.7351690648014706,0.5089299039655315,0.6090191235782445,21.08109376689182,True
18764
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.288986+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TabPFN-TS,livehouse-canonical-v1,0.04672782714690269,0.21616620260092162,0.0019562062386194127,0.16553958659721224,92.4753193922652,True
 
18765
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.110967+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
18766
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.688051+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TabPFN-TS,livehouse-canonical-v1,2.2453198255328217e-05,0.00473848058509563,,0.00122886298634992,-100.0,False
18767
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.969567+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
@@ -20823,6 +20832,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.041833
20823
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.931045+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
20824
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.265242+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TiRex,livehouse-canonical-v1,0.4337122598349142,0.6585683410511882,0.45345291844643404,0.44335508182195604,31.316619050568054,True
20825
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.304546+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TiRex,livehouse-canonical-v1,0.451793988330385,0.6721562231582662,0.006298788883512711,0.49672241187430266,45.139156793150306,True
 
20826
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.243059+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
20827
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.783828+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TiRex,livehouse-canonical-v1,7.482820731878567e-06,0.0027354744984880715,,0.0954944092085836,-100.0,False
20828
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:25.013325+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
@@ -23422,6 +23432,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.035325
23422
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.926487+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
23423
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.216153+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TimesFM-2.5,livehouse-canonical-v1,0.38653174071685853,0.6217167688882603,0.3433052484664623,0.5328777623831262,36.412714297504344,True
23424
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.294943+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TimesFM-2.5,livehouse-canonical-v1,0.34467524025970664,0.5870904872842914,0.00821032577172172,0.43948875362829126,55.23511367862004,True
 
23425
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.125073+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
23426
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.726571+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TimesFM-2.5,livehouse-canonical-v1,3.661172432298232e-06,0.0019134190425252467,,0.007847991732666789,-100.0,False
23427
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.986795+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
@@ -25727,6 +25738,7 @@ future-3cc0ed3feef0068bd5b9,2026-07-14T18:30:00+00:00,2026-07-15T19:16:54.048271
25727
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.935762+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,2.318372512774725e-07,0.00048149480919057946,,0.000273693709227195,-100.0,False
25728
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.300471+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Toto-1.0,livehouse-canonical-v1,1.6743280446272983,1.2939582855051002,0.4343622038093546,0.503020187645871,-33.75641839572545,True
25729
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.310044+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Toto-1.0,livehouse-canonical-v1,0.34687018851019474,0.5889568647279653,0.004779709306138715,0.40372304036381396,55.014164153902385,True
 
25730
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.330557+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,0.016081188760984442,0.12681162707332652,,0.00027004123728854916,-100.0,False
25731
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.832886+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Toto-1.0,livehouse-canonical-v1,0.9063158121867223,0.9520062038593669,,0.0017660788930929695,-100.0,False
25732
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:25.051378+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,0.00037208580874802756,0.019289525881888012,,0.0002672800197396336,-100.0,False
 
874
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.883609+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
875
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.746758+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,ARIMA,livehouse-canonical-v1,0.42141529044457887,0.6491650717995993,0.39007032797142677,0.3945850666593647,32.60780006996913,True
876
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.241369+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,ARIMA,livehouse-canonical-v1,0.5794583301210013,0.7612216038191516,0.015966736391412134,1.2292074190830744,34.698576191742134,True
877
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.415497+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,ARIMA,livehouse-canonical-v1,0.8104779381236882,0.9002654820238796,0.38991744977631015,0.7498835649196879,-70.85840461711754,True
878
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.670454+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
879
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.119167+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,ARIMA,livehouse-canonical-v1,0.0021197263438641626,0.046040485921242866,,8.911882784835036e-05,-100.0,False
880
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.673738+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ARIMA,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
 
3370
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.887842+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
3371
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.850097+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Chronos-2,livehouse-canonical-v1,0.3771529612588833,0.6141278053132616,0.41215089610455086,0.43561423082330397,37.47323611738933,True
3372
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.247172+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Chronos-2,livehouse-canonical-v1,0.4683516566869133,0.684362226227393,0.006926763911301436,0.5367500236374647,43.69460974301861,True
3373
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.456053+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Chronos-2,livehouse-canonical-v1,0.39869489331544644,0.6314229116174408,0.23653810805327471,0.3388036720406042,-48.50909252858452,True
3374
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.704341+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
3375
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.213969+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Chronos-2,livehouse-canonical-v1,0.004382474507198172,0.06620026062787195,,0.10863750690341033,-100.0,False
3376
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.711712+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-2,livehouse-canonical-v1,1.7296862743653321e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,False
 
5684
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.892970+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
5685
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.888043+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Chronos-Bolt,livehouse-canonical-v1,0.4186155521554542,0.6470050634697183,0.44083194096845646,0.43671991739785,32.90532898608875,True
5686
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.255029+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Chronos-Bolt,livehouse-canonical-v1,0.07327781412994146,0.2706987516224289,0.0029146311289516796,0.3262041287465982,88.44688982512645,True
5687
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.480997+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Chronos-Bolt,livehouse-canonical-v1,0.5145230776004729,0.7173026401739178,0.31943982244915026,0.5090869965303763,-57.64585860714331,True
5688
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.741116+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
5689
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.240412+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Chronos-Bolt,livehouse-canonical-v1,2.597935009148375e-06,0.0016118110959874843,,0.00350920999021313,-100.0,False
5690
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.741861+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Chronos-Bolt,livehouse-canonical-v1,1.0941039077622847e-12,1.0459942197556757e-06,,3.2148618499168906e-06,-100.0,False
 
7766
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.898352+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
7767
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.928135+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,ETS,livehouse-canonical-v1,0.3495438234844452,0.5912223130806593,0.3367757560590589,0.39824699209324327,40.69314981067177,True
7768
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.260932+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,ETS,livehouse-canonical-v1,0.14945985629635522,0.38660038320771906,0.003477316648810827,0.2508169644087489,77.77086420252506,True
7769
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.501915+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,ETS,livehouse-canonical-v1,1.1198140648706234,1.0582126746881382,0.46222989610505666,0.8731322073989862,-78.02390247802754,True
7770
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.846032+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
7771
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.271095+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,ETS,livehouse-canonical-v1,0.001978217468450932,0.04447715670376123,,8.911738989428628e-08,-100.0,False
7772
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.778503+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,ETS,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
 
9965
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.903205+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
9966
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:22.971105+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Moirai-2.0,livehouse-canonical-v1,0.37578496011616774,0.613013017901062,0.40963604076492116,0.44467222943052764,37.62930481663459,True
9967
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.266838+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Moirai-2.0,livehouse-canonical-v1,0.40126871750313703,0.6334577472121854,0.006062475510638893,0.5454834160567303,49.732367587734124,True
9968
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.551941+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Moirai-2.0,livehouse-canonical-v1,0.31760983134338966,0.5635688346097482,0.25041462947181964,0.32100524628439947,-39.34996056867401,True
9969
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.893937+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
9970
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.318682+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Moirai-2.0,livehouse-canonical-v1,1.8520933370156609e-06,0.0013609163593019452,,0.002037226440072846,-100.0,False
9971
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.810848+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moirai-2.0,livehouse-canonical-v1,1.2167879962794955e-13,3.488248839001449e-07,,4.100515180343539e-07,0.0,False
 
12057
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.908009+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
12058
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.014114+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Moving-Average,livehouse-canonical-v1,0.4580984991841208,0.6768297416515625,0.4465149491019626,0.4373506003821698,28.82903054338424,True
12059
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.272999+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Moving-Average,livehouse-canonical-v1,1.266994543262402,1.1256085213174258,0.012776259936304595,0.9620984066989399,-2.9133476820331663,True
12060
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.579090+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Moving-Average,livehouse-canonical-v1,0.062910963268268,0.2508205798340081,0.10789232060172704,0.2116371250880792,37.447466958821465,True
12061
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:27.954706+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
12062
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.357724+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Moving-Average,livehouse-canonical-v1,0.001978215778738286,0.04447713770847092,,0.0,-100.0,False
12063
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.829395+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Moving-Average,livehouse-canonical-v1,9.578202015526527e-15,9.786828912128038e-08,,2.502171382189061e-07,0.0,False
 
14499
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.912524+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14500
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.055918+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Seasonal-Naive,livehouse-canonical-v1,0.8292199192150201,0.9106151323226626,0.5435122747622748,0.7441363346197076,0.0,True
14501
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.278061+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Seasonal-Naive,livehouse-canonical-v1,1.1952604932309772,1.0932796957919675,0.012370948810547067,0.6990825004713552,0.0,True
14502
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.604230+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Seasonal-Naive,livehouse-canonical-v1,0.13823505020125373,0.3717997447568432,0.1419691907248947,0.28941377322835155,0.0,True
14503
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.020245+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14504
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.401619+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
14505
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.887092+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Seasonal-Naive,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
 
16806
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.916868+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.396464537490914e-16,2.096774794175787e-08,,2.0083251503797174e-08,0.0,False
16807
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.087950+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Sundial,livehouse-canonical-v1,0.8513843008972826,0.9227048828836242,0.6362474814070032,0.6090060098861385,-1.3188341084125885,True
16808
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.283304+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Sundial,livehouse-canonical-v1,0.05351965571011857,0.23134315574513667,0.0024049103954910584,0.17334372979372323,91.42849031424778,True
16809
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.622941+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Sundial,livehouse-canonical-v1,0.04821187162773686,0.21957201922771685,0.1113706881054695,0.1293380084059859,48.283542410041115,True
16810
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.062451+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.264150924358538e-16,2.064982063931437e-08,,1.9573048847850756e-08,0.0,False
16811
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.442970+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Sundial,livehouse-canonical-v1,0.007574925583112103,0.08703404841274535,,0.012728168107787097,-100.0,False
16812
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.921572+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Sundial,livehouse-canonical-v1,4.06198233753393e-16,2.0154360167303574e-08,,2.0200247691021037e-08,0.0,False
 
18770
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.921855+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
18771
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.151225+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TabPFN-TS,livehouse-canonical-v1,0.5404735538410689,0.7351690648014706,0.5089299039655315,0.6090191235782445,21.08109376689182,True
18772
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.288986+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TabPFN-TS,livehouse-canonical-v1,0.04672782714690269,0.21616620260092162,0.0019562062386194127,0.16553958659721224,92.4753193922652,True
18773
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.649290+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,TabPFN-TS,livehouse-canonical-v1,0.07653330258294426,0.2766465300395873,0.11322722294153197,0.23295457875921002,28.72944119486179,True
18774
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.110967+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
18775
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.688051+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TabPFN-TS,livehouse-canonical-v1,2.2453198255328217e-05,0.00473848058509563,,0.00122886298634992,-100.0,False
18776
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.969567+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TabPFN-TS,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
 
20832
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.931045+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
20833
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.265242+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TiRex,livehouse-canonical-v1,0.4337122598349142,0.6585683410511882,0.45345291844643404,0.44335508182195604,31.316619050568054,True
20834
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.304546+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TiRex,livehouse-canonical-v1,0.451793988330385,0.6721562231582662,0.006298788883512711,0.49672241187430266,45.139156793150306,True
20835
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.717014+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,TiRex,livehouse-canonical-v1,0.07055337570154269,0.2656188541906291,0.11237064199633989,0.17695674810985468,32.4163919561427,True
20836
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.243059+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
20837
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.783828+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TiRex,livehouse-canonical-v1,7.482820731878567e-06,0.0027354744984880715,,0.0954944092085836,-100.0,False
20838
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:25.013325+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TiRex,livehouse-canonical-v1,2.0440368407041843e-18,1.4296981641955705e-09,,1.39774869271451e-09,0.0,False
 
23432
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.926487+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
23433
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.216153+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,TimesFM-2.5,livehouse-canonical-v1,0.38653174071685853,0.6217167688882603,0.3433052484664623,0.5328777623831262,36.412714297504344,True
23434
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.294943+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,TimesFM-2.5,livehouse-canonical-v1,0.34467524025970664,0.5870904872842914,0.00821032577172172,0.43948875362829126,55.23511367862004,True
23435
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.678011+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,TimesFM-2.5,livehouse-canonical-v1,0.14262902462292637,0.3776625803848276,0.14590502381629022,0.31992783287089027,-1.5644487193398617,True
23436
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.125073+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
23437
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.726571+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,TimesFM-2.5,livehouse-canonical-v1,3.661172432298232e-06,0.0019134190425252467,,0.007847991732666789,-100.0,False
23438
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:24.986795+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,TimesFM-2.5,livehouse-canonical-v1,0.0,0.0,,0.0,0.0,False
 
25738
  future-3daa34c5d1a968065925,2026-07-15T12:45:00+00:00,2026-07-16T05:10:06.935762+00:00,2026-07-16T04:54:39.281279+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,2.318372512774725e-07,0.00048149480919057946,,0.000273693709227195,-100.0,False
25739
  future-3ddc00a436ca654305af,2026-07-26T04:00:00+00:00,2026-07-26T05:07:23.300471+00:00,2026-07-25T06:30:48.563379+00:00,prequential-v1,usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Hazards,1h,24,Toto-1.0,livehouse-canonical-v1,1.6743280446272983,1.2939582855051002,0.4343622038093546,0.503020187645871,-33.75641839572545,True
25740
  future-3e1d2767605c760dfe01,2026-07-19T03:00:00+00:00,2026-07-19T03:38:12.310044+00:00,2026-07-18T03:19:32.723697+00:00,prequential-v1,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,Toto-1.0,livehouse-canonical-v1,0.34687018851019474,0.5889568647279653,0.004779709306138715,0.40372304036381396,55.014164153902385,True
25741
+ future-3eca09229aa7baa49732,2026-07-28T01:00:00+00:00,2026-07-28T01:14:58.752891+00:00,2026-07-27T19:23:56.820632+00:00,prequential-v1,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,Toto-1.0,livehouse-canonical-v1,0.5938577859053631,0.7706216879282357,0.2032631822843151,0.3000537773009777,-62.23565007508907,True
25742
  future-4002f3f98fc60e9bd276,2026-07-22T20:30:00+00:00,2026-07-23T18:58:28.330557+00:00,2026-07-23T17:48:54.001067+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,0.016081188760984442,0.12681162707332652,,0.00027004123728854916,-100.0,False
25743
  future-4076d1dd7390d4fc24ca,2026-07-26T10:35:00+00:00,2026-07-26T12:29:44.832886+00:00,2026-07-26T07:47:35.168681+00:00,prequential-v1,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,Toto-1.0,livehouse-canonical-v1,0.9063158121867223,0.9520062038593669,,0.0017660788930929695,-100.0,False
25744
  future-40e2c96e691c321e5637,2026-07-23T18:25:00+00:00,2026-07-24T02:31:25.051378+00:00,2026-07-24T01:29:18.144658+00:00,prequential-v1,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,Toto-1.0,livehouse-canonical-v1,0.00037208580874802756,0.019289525881888012,,0.0002672800197396336,-100.0,False
results/aggregates/live_results_by_dataset.csv CHANGED
@@ -4,7 +4,7 @@ ARIMA,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.9083101123257313,1
4
  ARIMA,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.696394181979516,0.380471273505646,,0.15580630846905943,-31.984062530309192,73.95498335517689,0.05652788255492751,0.20737281260393037,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
5
  ARIMA,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
6
  ARIMA,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,2.00800771168344,1.326207173091614,0.08803981956779476,1.0373703489917312,-58.91418609438252,1.337635791274214,-0.0582010582010582,0.6809893725769562,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
7
- ARIMA,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.2109307850262343,0.9703260826645649,1.3020169466579097,0.7596112155589103,5.247394875105203,1.1857467735110292,0.08007221219275099,0.019774170439250234,380,0.9973684210526316,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
8
  ARIMA,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.6476938338190923,1.430270775832798,0.13286130545384817,1.0425427164898813,11.63834147117514,3.3973243585873876,-0.1259131103421761,0.0014156042268420636,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
9
  ARIMA,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.224989505012516,0.8376872389949994,0.03753078258092905,0.6302451084156856,31.472996936085384,9.894620159763747,0.07644529383659818,0.2804556277713832,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
10
  ARIMA,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.6887482829826201,0.9540036885514395,0.4566297955053868,0.7461177956329675,3.1470638726462545,3.8237247820144815,-0.28120112605567715,9.057596938929015e-07,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -17,7 +17,7 @@ Chronos-2,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.58118634312199
17
  Chronos-2,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,18;36,6.445121372316988,0.32827922848801555,,0.14402370078419557,-31.232182106245293,72.54657678754887,0.03300313644140569,0.45089174222619866,274,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
18
  Chronos-2,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.7296862743653316e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,5.783177050959692e-34,0.0,1.0,537,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
19
  Chronos-2,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.31386553452913357,0.49365396547686097,0.03316284099899457,0.3340700346147921,7.7242988117908125,0.36722327176548764,-0.2698412698412698,0.04526042867191174,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
20
- Chronos-2,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.32845923012898737,0.4786362277349434,0.4822679559074156,0.31463804323039857,50.68376611683821,0.42309986466897914,-0.047921310814725254,0.15284072488917316,399,0.9974937343358395,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
21
  Chronos-2,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.7929169696018046,1.4864426713148808,0.14722998073278348,1.011552559462017,7.345955967055306,3.472875025315502,-0.04659544901858607,0.22564591593483918,304,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
22
  Chronos-2,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.770662920708487,0.9383375365561323,0.04147426688621382,0.6664343471483456,32.51750738043405,9.969986449028195,0.026208503203261502,0.6962897689185866,102,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
23
  Chronos-2,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.02785586891715,0.7645296886497267,0.3442084958075155,0.518033025872195,21.88638146494005,2.3488829237605158,-0.3387083770055632,2.6801824527934785e-10,158,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -30,7 +30,7 @@ Chronos-Bolt,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.45393802545
30
  Chronos-Bolt,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.335535137570655,0.4690162717756473,,0.18860388967119557,-24.39143382965673,87.25801146628768,0.03825222280415549,0.4689660021732467,189,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
31
  Chronos-Bolt,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.0941039077622845e-12,1.045994219755676e-06,,3.2148618499168906e-06,-100.0,2.022045090135468e-28,0.0,1.0,395,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
32
  Chronos-Bolt,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.36167861848650795,0.49455381778420476,0.03324062618358011,0.34431122124691615,7.986333567886383,0.5712708639071138,-0.15217391304347824,0.31275941965675913,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
33
- Chronos-Bolt,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.3310315567274469,1.0471998390005055,1.0962909707089838,0.7030278416545219,7.120065261011855,1.0729998360749884,0.0025832293269091224,0.9502253106342238,263,0.9961977186311787,2026-07-03T07:42:00+00:00,2026-07-27T17:06:00+00:00
34
  Chronos-Bolt,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.045698974885779,1.5721984760706076,0.14192554961108672,1.0757649825139597,-1.3749427343201277,3.7674234990024824,-0.05891917742706838,0.20959712858669577,205,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
35
  Chronos-Bolt,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.768843963278756,0.8902673165851895,0.03498639781627768,0.6413761405723531,39.70093271789535,11.382484507106362,0.07441016333938293,0.40932488546762036,58,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
36
  Chronos-Bolt,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.5283024504079121,0.6226304952000458,0.38224721858727956,0.4164590636262569,13.009778530945106,0.5824227287220827,-0.45487305487305485,1.4744406235679493e-12,111,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -43,7 +43,7 @@ ETS,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.6772698673479125,1.1
43
  ETS,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.7149825942941455,0.3761371050619712,,0.15234828999678537,-31.95150047826325,74.01033192958067,0.09245087746393418,0.0392015876395905,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
44
  ETS,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
45
  ETS,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,5.613843832129828,2.2103929965175833,0.15925778436226873,1.7831247026080472,-78.68678586194969,3.9623550410667945,0.021164021164021163,0.8910537311539605,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
46
- ETS,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.9185427489198967,1.232492779355658,1.4756524935288704,0.9364815737918708,-12.076984515273455,1.710044306897817,0.0993195389529232,0.0038423335145900276,380,0.9973684210526316,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
47
  ETS,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,5.898656502609737,1.9141034340337182,0.18551203955094225,1.5298286515783126,-5.279724912066871,12.054123016460832,-0.17526912725874666,8.894021917836769e-06,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
48
  ETS,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,1.972878454121812,0.853143992192325,0.04758814209444523,0.6729960300640387,6.483095468375056,9.382395081066424,0.14811275680840896,0.03651580906292498,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
49
  ETS,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,3.873994336063469,1.0831333111558656,0.5164406254559749,0.8553311523656505,0.13992619226360067,27.30330920863052,-0.2344906683348973,4.216250622389566e-05,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -56,7 +56,7 @@ Moirai-2.0,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.7617173231646
56
  Moirai-2.0,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.287171929190347,0.46657878274171743,,0.1861796331251843,-24.383824066632396,87.03576946011931,0.025793610611113477,0.624619889671445,190,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
57
  Moirai-2.0,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.2167879962794955e-13,3.488248839001448e-07,,4.100515180343539e-07,0.0,0.0,0.0,1.0,396,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
58
  Moirai-2.0,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3509776387406318,0.5109250784451215,0.03392609341986356,0.3477349888235497,-0.05414682793155379,0.5466483923340161,-0.18840579710144928,0.20826013369971733,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
59
- Moirai-2.0,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.713229431117647,0.7106601581992498,0.8644000153314241,0.4712890957065138,38.61185508655531,0.8638359225340574,0.052886277220877985,0.20038395207269477,264,0.9962121212121212,2026-07-03T07:42:00+00:00,2026-07-27T17:06:00+00:00
60
  Moirai-2.0,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.877231043837148,1.513316113092047,0.1366968045743842,1.017717295986393,3.3575517839554028,3.6894600887934303,-0.02640589090567985,0.5720114604578553,207,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
61
  Moirai-2.0,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.670225338703816,0.8791254469903079,0.03496247950075732,0.6108317841224591,37.06055843587799,11.37096795671203,0.09175920514319111,0.30456198913461274,59,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
62
  Moirai-2.0,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.47965564978060443,0.5956660891730714,0.34848366280670223,0.4013809873615249,15.145933289401857,0.5589006360416241,-0.33848133848133843,1.2200657712154157e-07,112,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -69,7 +69,7 @@ Moving-Average,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,3.269265685
69
  Moving-Average,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.749341309614458,0.3967080250968067,,0.1715961663357205,-32.73495278993612,74.0191791940212,0.08211616868641909,0.06702310996896337,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
70
  Moving-Average,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
71
  Moving-Average,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.9267203694223873,0.8991660074328582,0.06467944417529574,0.6832483151466748,-40.002513417357854,0.6820557529393131,-0.08465608465608465,0.5436680154547943,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
72
- Moving-Average,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.4121424062737995,1.03288278615101,2.0779054738545253,0.90323237316368,5.387988310801883,1.574520192200768,0.16233856408832104,2.3003122502734167e-06,380,0.9973684210526316,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
73
  Moving-Average,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.6374422384270657,1.435030594909696,0.14185227945951576,1.1375966769668246,11.450310484320775,3.5044978074843924,-0.09140715109573241,0.02051207837417364,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
74
  Moving-Average,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.8914444303842557,1.068962110527693,0.06617696620566264,0.8956165091670224,16.219078657811732,9.585776068034434,0.03774486383182035,0.5941010151538975,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
75
  Moving-Average,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.5017748959195862,0.9857132449331892,0.46385084507789925,0.7665371738183044,-1.8741387168037815,2.526677990525922,-0.3404233135230945,2.758241029305279e-09,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -82,7 +82,7 @@ Seasonal-Naive,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,3.880348677
82
  Seasonal-Naive,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,7.030911456656365,0.4380584033619756,,0.17164950780364183,0.0,73.91418427588573,0.14757342410617194,0.0026075904623206075,264,0.0,2026-06-29T09:30:00+00:00,2026-07-27T14:15:00+00:00
83
  Seasonal-Naive,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,518,0.0,2026-06-25T14:25:00+00:00,2026-07-26T14:00:00+00:00
84
  Seasonal-Naive,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.40627897829962645,0.5557580915813806,0.03936781341215746,0.39697760149965017,0.0,0.4744483125303129,-0.32275132275132273,0.015817547817850365,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
85
- Seasonal-Naive,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.4832461389998903,1.0703607808882887,2.1087499121744973,0.9410244420462055,0.0,1.5989653567590871,0.18101947782842936,1.321795375370297e-07,381,0.9973753280839895,2026-06-29T09:30:00+00:00,2026-07-27T17:06:00+00:00
86
  Seasonal-Naive,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.0787109503020034,1.581645594411163,0.14980790944742553,1.2826218042861848,0.0,3.5969304008148377,-0.08750745734399236,0.026291171017075187,290,1.0,2026-06-28T11:00:00+00:00,2026-07-26T16:10:00+00:00
87
  Seasonal-Naive,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.907553326809399,1.1113168709918815,0.06395200154691993,0.8936284979553439,0.0,9.58160211148785,0.053763440860215055,0.4452669441695035,93,1.0,2026-07-03T23:00:00+00:00,2026-07-15T23:00:00+00:00
88
  Seasonal-Naive,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.7655677457950825,1.0513798956631837,0.46749250026515726,0.8685246031221482,0.0,2.6608704543301562,-0.3697841726618705,9.056358287895971e-11,140,1.0,2026-06-29T09:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -95,7 +95,7 @@ Sundial,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,2.195593023269829,
95
  Sundial,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,7.8041898517859325,0.41687668510425674,,0.16228678656538592,-31.190588152976574,79.80273289009573,0.03701081612586038,0.4075712044490347,226,0.0,2026-07-01T00:15:00+00:00,2026-07-27T14:15:00+00:00
96
  Sundial,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,6.724487992307378e-16,2.335927194353183e-08,,2.0243785112112024e-08,0.0,1.4327945149411458e-15,0.0,1.0,448,0.0,2026-06-29T22:35:00+00:00,2026-07-26T14:00:00+00:00
97
  Sundial,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3203636538912743,0.5075621603907478,0.03374635902678368,0.3398897031230472,2.1126852444260993,0.3582833926162125,-0.32923076923076927,0.018371833944896835,26,1.0,2026-06-28T23:00:00+00:00,2026-07-24T23:00:00+00:00
98
- Sundial,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.38808883661468946,0.5398644804013891,0.7907791156069007,0.3566332889377534,53.3309014701064,0.3847283532473514,0.03825597749648382,0.3103636023807218,316,0.9968354430379747,2026-07-01T07:24:00+00:00,2026-07-27T17:06:00+00:00
99
  Sundial,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.2154686441215006,1.6557573131742542,0.1658321445318822,1.2310985601022846,-4.953532948337691,3.5484129647474014,-0.09414225941422595,0.029868960301800043,240,1.0,2026-06-30T09:40:00+00:00,2026-07-26T16:10:00+00:00
100
  Sundial,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.881456278598701,1.0224167870279186,0.04675885085597254,0.7204555593446484,14.578590822390296,10.258215961261458,0.11796042617960426,0.13985682980676,73,1.0,2026-07-05T21:00:00+00:00,2026-07-15T23:00:00+00:00
101
  Sundial,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.0630461559506057,0.7620902896007227,0.37385369039603655,0.5309431911283826,17.80461534628412,2.4594593887470606,-0.38192656821568893,4.426442662450618e-10,122,1.0,2026-07-01T08:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -108,7 +108,7 @@ TabPFN-TS,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.68970872926402
108
  TabPFN-TS,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.591607024363018,0.4838262752512973,,0.19231963357247836,-24.699583455588787,88.44226054454613,0.031802624778517107,0.5545164139248557,184,0.0,2026-07-01T12:55:00+00:00,2026-07-27T14:15:00+00:00
109
  TabPFN-TS,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,381,0.0,2026-06-30T03:30:00+00:00,2026-07-26T14:00:00+00:00
110
  TabPFN-TS,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.37327560506336477,0.5185272509173141,0.03418482796535857,0.4123620485360199,3.465213338537667,0.506550571327117,-0.22666666666666663,0.11834341824544657,25,1.0,2026-06-28T23:00:00+00:00,2026-07-24T23:00:00+00:00
111
- TabPFN-TS,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.9720992511517186,0.8718270451214847,0.9269706355868068,0.710015199215591,22.721282027162957,0.8988532358383126,-0.012311809969889596,0.7741013804062814,245,0.9959183673469387,2026-07-01T12:54:00+00:00,2026-07-27T17:06:00+00:00
112
  TabPFN-TS,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.905322596847384,1.5123599133515746,0.13554043474013291,1.277749538649062,3.3524040677998475,3.787937285706062,-0.03947438705197372,0.4137318498126218,194,1.0,2026-06-30T13:20:00+00:00,2026-07-26T16:10:00+00:00
113
  TabPFN-TS,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,3.0669307026933486,0.9634836711907595,0.03523961683690969,0.736313878115392,32.539994057587926,11.885777737268304,0.1264849755415793,0.1769092815963943,54,1.0,2026-07-06T02:00:00+00:00,2026-07-15T23:00:00+00:00
114
  TabPFN-TS,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.5207593688768749,0.6059324744797115,0.33946578899065166,0.4981886145297968,11.250230807649105,0.7087378179560665,-0.3686662783925451,4.0035572769852415e-08,102,1.0,2026-07-01T13:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -121,7 +121,7 @@ TiRex,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.8183701071507006,1
121
  TiRex,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,18;36,6.463990729677263,0.32468196780952296,,0.14406996848147088,-31.231553330881695,72.68307314845242,-0.0021213980567854228,0.9614365321267186,273,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
122
  TiRex,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,2.0440368407041843e-18,1.4296981641955703e-09,,1.39774869271451e-09,0.0,0.0,0.0,1.0,536,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
123
  TiRex,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.314654479190125,0.4795158295005707,0.03176581536708863,0.32560657639009666,14.010661877279322,0.4008075938825765,-0.24867724867724864,0.06578881844114484,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
124
- TiRex,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.39226629154403136,0.5233201730086883,0.618274417227461,0.34910288418264945,45.68227834334882,0.5013928926824139,-0.02598204052845682,0.43828902133643466,399,0.9974937343358395,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
125
  TiRex,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.9004976891270604,1.50956448822586,0.1505316402294837,1.0297928910194565,5.948139550733763,3.601755309717661,-0.14235132122483773,0.00021946379155417484,303,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
126
  TiRex,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.468994721394927,0.8596170375096616,0.037194240537534014,0.6036450284928152,41.50715153356337,9.60643761665164,0.0716831683168317,0.28815304090301486,101,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
127
  TiRex,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.9553859737915604,0.7349143048700336,0.32749906333795475,0.5072903190827633,23.278273669160622,2.176305088417372,-0.2878411910669975,9.66939736663388e-08,156,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -134,7 +134,7 @@ TimesFM-2.5,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,1.923580799564
134
  TimesFM-2.5,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.463929005172154,0.32551731651489557,,0.1338911421881129,-28.91530721256502,72.6818794993184,0.11274988329302482,0.011082988588219447,273,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
135
  TimesFM-2.5,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,536,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
136
  TimesFM-2.5,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3316526222970445,0.518229795992016,0.03950672721610399,0.3705334650768531,1.9642900030307806,0.3385346334229588,-0.31746031746031744,0.0177084999871278,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
137
- TimesFM-2.5,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.17456956731044052,0.3565135993847555,0.2651495158269887,0.2747770311601733,62.787078901684396,0.20475902592565196,-0.011856601277256192,0.7242339056970584,397,0.9974811083123426,2026-06-29T10:00:00+00:00,2026-07-27T17:06:00+00:00
138
  TimesFM-2.5,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.703166389872372,1.471570467481978,0.13269632834168124,1.2324382704737284,7.1831678171112525,3.267827272052172,-0.09557843201538697,0.01309229016082298,303,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
139
  TimesFM-2.5,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.473458750158442,0.883920069404717,0.039945153768864705,0.7179661355505145,37.40913646012532,9.426150906207923,0.060606060606060615,0.3716242470071768,100,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
140
  TimesFM-2.5,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.0055797219013838,0.7517175499760977,0.3192245281916464,0.5773783063411879,19.355009320160686,2.3567786455997046,-0.31043150397989105,9.896939322329878e-09,155,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
@@ -147,7 +147,7 @@ Toto-1.0,coingecko_bitcoin_7d_price_usd/1h/short,Finance,1h,24,3.175086269910645
147
  Toto-1.0,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,11.886152335396913,1.5009737575603266,,0.18981941802749785,-87.70752351479314,87.34985267531607,5.5694792536897796e-05,0.9990895876247131,190,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
148
  Toto-1.0,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.5464916503397336,0.3122203325132686,,0.00027578725550207473,-100.0,3.5348920945268514,-0.016163943141399694,0.6300998771957171,398,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
149
  Toto-1.0,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.706714315171903,0.6649440647216701,0.0315691235852417,0.3206082426601839,-12.340778812805832,1.3527117377628468,-0.18115942028985507,0.22687503195798614,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
150
- Toto-1.0,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.314915558143943,0.9638913581882387,0.7656941737872146,0.3942976378556533,16.649160728735104,2.485847973161289,0.019662363455809337,0.6327358254081505,266,0.9962406015037594,2026-07-03T07:42:00+00:00,2026-07-27T17:06:00+00:00
151
  Toto-1.0,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,56.14875924941847,5.132806982419556,0.1302944255249655,1.0263062603348718,-65.21205046789127,181.67420637845436,-0.07425469267574533,0.11029860138297042,209,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
152
  Toto-1.0,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,8.45680483631431,1.7566451020306872,0.03543346962187676,0.6053896244254073,-21.810618327960736,31.64405952117616,0.15141242937853108,0.0873982232047124,60,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
153
  Toto-1.0,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.8393055244351615,1.1402356119049042,0.3920846653690491,0.4222532284837786,-31.208435602748082,3.1096309153263073,-0.42604298356510745,2.237398035686739e-11,113,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
 
4
  ARIMA,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.696394181979516,0.380471273505646,,0.15580630846905943,-31.984062530309192,73.95498335517689,0.05652788255492751,0.20737281260393037,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
5
  ARIMA,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
6
  ARIMA,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,2.00800771168344,1.326207173091614,0.08803981956779476,1.0373703489917312,-58.91418609438252,1.337635791274214,-0.0582010582010582,0.6809893725769562,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
7
+ ARIMA,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.2098797276852824,0.9701421965736446,1.2996166848240107,0.7595856836674688,5.0476421205324415,1.1843632558775448,0.07951374499240227,0.020480771285173893,381,0.9973753280839895,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
8
  ARIMA,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.6476938338190923,1.430270775832798,0.13286130545384817,1.0425427164898813,11.63834147117514,3.3973243585873876,-0.1259131103421761,0.0014156042268420636,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
9
  ARIMA,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.224989505012516,0.8376872389949994,0.03753078258092905,0.6302451084156856,31.472996936085384,9.894620159763747,0.07644529383659818,0.2804556277713832,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
10
  ARIMA,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.6887482829826201,0.9540036885514395,0.4566297955053868,0.7461177956329675,3.1470638726462545,3.8237247820144815,-0.28120112605567715,9.057596938929015e-07,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
17
  Chronos-2,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,18;36,6.445121372316988,0.32827922848801555,,0.14402370078419557,-31.232182106245293,72.54657678754887,0.03300313644140569,0.45089174222619866,274,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
18
  Chronos-2,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.7296862743653316e-18,1.3151753777977035e-09,,2.356162747109682e-09,0.0,5.783177050959692e-34,0.0,1.0,537,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
19
  Chronos-2,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.31386553452913357,0.49365396547686097,0.03316284099899457,0.3340700346147921,7.7242988117908125,0.36722327176548764,-0.2698412698412698,0.04526042867191174,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
20
+ Chronos-2,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.3286348192869535,0.4790181944446496,0.4816520916270794,0.3146984573024241,50.418544569657946,0.42258392388579624,-0.04566416040100251,0.17258153623157835,400,0.9975,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
21
  Chronos-2,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.7929169696018046,1.4864426713148808,0.14722998073278348,1.011552559462017,7.345955967055306,3.472875025315502,-0.04659544901858607,0.22564591593483918,304,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
22
  Chronos-2,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.770662920708487,0.9383375365561323,0.04147426688621382,0.6664343471483456,32.51750738043405,9.969986449028195,0.026208503203261502,0.6962897689185866,102,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
23
  Chronos-2,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.02785586891715,0.7645296886497267,0.3442084958075155,0.518033025872195,21.88638146494005,2.3488829237605158,-0.3387083770055632,2.6801824527934785e-10,158,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
30
  Chronos-Bolt,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.335535137570655,0.4690162717756473,,0.18860388967119557,-24.39143382965673,87.25801146628768,0.03825222280415549,0.4689660021732467,189,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
31
  Chronos-Bolt,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.0941039077622845e-12,1.045994219755676e-06,,3.2148618499168906e-06,-100.0,2.022045090135468e-28,0.0,1.0,395,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
32
  Chronos-Bolt,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.36167861848650795,0.49455381778420476,0.03324062618358011,0.34431122124691615,7.986333567886383,0.5712708639071138,-0.15217391304347824,0.31275941965675913,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
33
+ Chronos-Bolt,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.3279387215792386,1.0459502283988897,1.0933371640616079,0.7022932172411729,6.858912342188647,1.0721363247607556,-0.0005761032377001959,0.9888711885297796,264,0.9962121212121212,2026-07-03T07:42:00+00:00,2026-07-28T01:00:00+00:00
34
  Chronos-Bolt,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.045698974885779,1.5721984760706076,0.14192554961108672,1.0757649825139597,-1.3749427343201277,3.7674234990024824,-0.05891917742706838,0.20959712858669577,205,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
35
  Chronos-Bolt,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.768843963278756,0.8902673165851895,0.03498639781627768,0.6413761405723531,39.70093271789535,11.382484507106362,0.07441016333938293,0.40932488546762036,58,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
36
  Chronos-Bolt,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.5283024504079121,0.6226304952000458,0.38224721858727956,0.4164590636262569,13.009778530945106,0.5824227287220827,-0.45487305487305485,1.4744406235679493e-12,111,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
 
43
  ETS,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.7149825942941455,0.3761371050619712,,0.15234828999678537,-31.95150047826325,74.01033192958067,0.09245087746393418,0.0392015876395905,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
44
  ETS,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
45
  ETS,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,5.613843832129828,2.2103929965175833,0.15925778436226873,1.7831247026080472,-78.68678586194969,3.9623550410667945,0.021164021164021163,0.8910537311539605,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
46
+ ETS,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.9164463481743605,1.2320353512594178,1.472985591956702,0.9363153024890022,-12.250073538797745,1.7082829356389155,0.09783119215361238,0.00435433019694368,381,0.9973753280839895,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
47
  ETS,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,5.898656502609737,1.9141034340337182,0.18551203955094225,1.5298286515783126,-5.279724912066871,12.054123016460832,-0.17526912725874666,8.894021917836769e-06,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
48
  ETS,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,1.972878454121812,0.853143992192325,0.04758814209444523,0.6729960300640387,6.483095468375056,9.382395081066424,0.14811275680840896,0.03651580906292498,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
49
  ETS,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,3.873994336063469,1.0831333111558656,0.5164406254559749,0.8553311523656505,0.13992619226360067,27.30330920863052,-0.2344906683348973,4.216250622389566e-05,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
56
  Moirai-2.0,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.287171929190347,0.46657878274171743,,0.1861796331251843,-24.383824066632396,87.03576946011931,0.025793610611113477,0.624619889671445,190,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
57
  Moirai-2.0,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,1.2167879962794955e-13,3.488248839001448e-07,,4.100515180343539e-07,0.0,0.0,0.0,1.0,396,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
58
  Moirai-2.0,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3509776387406318,0.5109250784451215,0.03392609341986356,0.3477349888235497,-0.05414682793155379,0.5466483923340161,-0.18840579710144928,0.20826013369971733,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
59
+ Moirai-2.0,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.7117365269675556,0.7101050966007989,0.8620743131122589,0.47072198684077,38.29749292665518,0.8625407588622177,0.05117209834190967,0.21448361246753145,265,0.9962264150943396,2026-07-03T07:42:00+00:00,2026-07-28T01:00:00+00:00
60
  Moirai-2.0,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.877231043837148,1.513316113092047,0.1366968045743842,1.017717295986393,3.3575517839554028,3.6894600887934303,-0.02640589090567985,0.5720114604578553,207,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
61
  Moirai-2.0,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.670225338703816,0.8791254469903079,0.03496247950075732,0.6108317841224591,37.06055843587799,11.37096795671203,0.09175920514319111,0.30456198913461274,59,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
62
  Moirai-2.0,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.47965564978060443,0.5956660891730714,0.34848366280670223,0.4013809873615249,15.145933289401857,0.5589006360416241,-0.33848133848133843,1.2200657712154157e-07,112,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
 
69
  Moving-Average,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.749341309614458,0.3967080250968067,,0.1715961663357205,-32.73495278993612,74.0191791940212,0.08211616868641909,0.06702310996896337,263,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
70
  Moving-Average,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,9.578202015526527e-15,9.786828912128036e-08,,2.502171382189061e-07,0.0,0.0,0.0,1.0,517,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
71
  Moving-Average,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.9267203694223873,0.8991660074328582,0.06467944417529574,0.6832483151466748,-40.002513417357854,0.6820557529393131,-0.08465608465608465,0.5436680154547943,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
72
+ Moving-Average,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.4086011163971446,1.0308301294415168,2.072721228714386,0.9014171625388095,5.472133924051279,1.5739656513152704,0.15634756181793066,5.195438253615829e-06,381,0.9973753280839895,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
73
  Moving-Average,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.6374422384270657,1.435030594909696,0.14185227945951576,1.1375966769668246,11.450310484320775,3.5044978074843924,-0.09140715109573241,0.02051207837417364,289,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
74
  Moving-Average,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.8914444303842557,1.068962110527693,0.06617696620566264,0.8956165091670224,16.219078657811732,9.585776068034434,0.03774486383182035,0.5941010151538975,92,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
75
  Moving-Average,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.5017748959195862,0.9857132449331892,0.46385084507789925,0.7665371738183044,-1.8741387168037815,2.526677990525922,-0.3404233135230945,2.758241029305279e-09,139,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
82
  Seasonal-Naive,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,7.030911456656365,0.4380584033619756,,0.17164950780364183,0.0,73.91418427588573,0.14757342410617194,0.0026075904623206075,264,0.0,2026-06-29T09:30:00+00:00,2026-07-27T14:15:00+00:00
83
  Seasonal-Naive,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,518,0.0,2026-06-25T14:25:00+00:00,2026-07-26T14:00:00+00:00
84
  Seasonal-Naive,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.40627897829962645,0.5557580915813806,0.03936781341215746,0.39697760149965017,0.0,0.4744483125303129,-0.32275132275132273,0.015817547817850365,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
85
+ Seasonal-Naive,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.4797251675632443,1.068532087076426,2.1035877580499567,0.9393186549550592,0.0,1.5983477358646545,0.17524838191037637,3.148068962528472e-07,382,0.9973821989528796,2026-06-29T09:30:00+00:00,2026-07-28T01:00:00+00:00
86
  Seasonal-Naive,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.0787109503020034,1.581645594411163,0.14980790944742553,1.2826218042861848,0.0,3.5969304008148377,-0.08750745734399236,0.026291171017075187,290,1.0,2026-06-28T11:00:00+00:00,2026-07-26T16:10:00+00:00
87
  Seasonal-Naive,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.907553326809399,1.1113168709918815,0.06395200154691993,0.8936284979553439,0.0,9.58160211148785,0.053763440860215055,0.4452669441695035,93,1.0,2026-07-03T23:00:00+00:00,2026-07-15T23:00:00+00:00
88
  Seasonal-Naive,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.7655677457950825,1.0513798956631837,0.46749250026515726,0.8685246031221482,0.0,2.6608704543301562,-0.3697841726618705,9.056358287895971e-11,140,1.0,2026-06-29T09:00:00+00:00,2026-07-27T05:00:00+00:00
 
95
  Sundial,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,7.8041898517859325,0.41687668510425674,,0.16228678656538592,-31.190588152976574,79.80273289009573,0.03701081612586038,0.4075712044490347,226,0.0,2026-07-01T00:15:00+00:00,2026-07-27T14:15:00+00:00
96
  Sundial,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,6.724487992307378e-16,2.335927194353183e-08,,2.0243785112112024e-08,0.0,1.4327945149411458e-15,0.0,1.0,448,0.0,2026-06-29T22:35:00+00:00,2026-07-26T14:00:00+00:00
97
  Sundial,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3203636538912743,0.5075621603907478,0.03374635902678368,0.3398897031230472,2.1126852444260993,0.3582833926162125,-0.32923076923076927,0.018371833944896835,26,1.0,2026-06-28T23:00:00+00:00,2026-07-24T23:00:00+00:00
98
+ Sundial,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.3870166695327117,0.5388540940885383,0.7886290889375925,0.35591626912535035,53.314928814853026,0.38459316936346444,0.03390168909475702,0.3678910416373625,317,0.9968454258675079,2026-07-01T07:24:00+00:00,2026-07-28T01:00:00+00:00
99
  Sundial,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,3.2154686441215006,1.6557573131742542,0.1658321445318822,1.2310985601022846,-4.953532948337691,3.5484129647474014,-0.09414225941422595,0.029868960301800043,240,1.0,2026-06-30T09:40:00+00:00,2026-07-26T16:10:00+00:00
100
  Sundial,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.881456278598701,1.0224167870279186,0.04675885085597254,0.7204555593446484,14.578590822390296,10.258215961261458,0.11796042617960426,0.13985682980676,73,1.0,2026-07-05T21:00:00+00:00,2026-07-15T23:00:00+00:00
101
  Sundial,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.0630461559506057,0.7620902896007227,0.37385369039603655,0.5309431911283826,17.80461534628412,2.4594593887470606,-0.38192656821568893,4.426442662450618e-10,122,1.0,2026-07-01T08:00:00+00:00,2026-07-27T05:00:00+00:00
 
108
  TabPFN-TS,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,9.591607024363018,0.4838262752512973,,0.19231963357247836,-24.699583455588787,88.44226054454613,0.031802624778517107,0.5545164139248557,184,0.0,2026-07-01T12:55:00+00:00,2026-07-27T14:15:00+00:00
109
  TabPFN-TS,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,381,0.0,2026-06-30T03:30:00+00:00,2026-07-26T14:00:00+00:00
110
  TabPFN-TS,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.37327560506336477,0.5185272509173141,0.03418482796535857,0.4123620485360199,3.465213338537667,0.506550571327117,-0.22666666666666663,0.11834341824544657,25,1.0,2026-06-28T23:00:00+00:00,2026-07-24T23:00:00+00:00
111
+ TabPFN-TS,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.9684587391656666,0.8694076121333468,0.9236492339025404,0.7080759284007276,22.745805125806623,0.8988324401892442,-0.01921353907416625,0.6535512025390484,246,0.9959349593495935,2026-07-01T12:54:00+00:00,2026-07-28T01:00:00+00:00
112
  TabPFN-TS,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.905322596847384,1.5123599133515746,0.13554043474013291,1.277749538649062,3.3524040677998475,3.787937285706062,-0.03947438705197372,0.4137318498126218,194,1.0,2026-06-30T13:20:00+00:00,2026-07-26T16:10:00+00:00
113
  TabPFN-TS,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,3.0669307026933486,0.9634836711907595,0.03523961683690969,0.736313878115392,32.539994057587926,11.885777737268304,0.1264849755415793,0.1769092815963943,54,1.0,2026-07-06T02:00:00+00:00,2026-07-15T23:00:00+00:00
114
  TabPFN-TS,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.5207593688768749,0.6059324744797115,0.33946578899065166,0.4981886145297968,11.250230807649105,0.7087378179560665,-0.3686662783925451,4.0035572769852415e-08,102,1.0,2026-07-01T13:00:00+00:00,2026-07-27T05:00:00+00:00
 
121
  TiRex,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,18;36,6.463990729677263,0.32468196780952296,,0.14406996848147088,-31.231553330881695,72.68307314845242,-0.0021213980567854228,0.9614365321267186,273,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
122
  TiRex,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,2.0440368407041843e-18,1.4296981641955703e-09,,1.39774869271451e-09,0.0,0.0,0.0,1.0,536,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
123
  TiRex,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.314654479190125,0.4795158295005707,0.03176581536708863,0.32560657639009666,14.010661877279322,0.4008075938825765,-0.24867724867724864,0.06578881844114484,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
124
+ TiRex,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.3914620092544251,0.5226759197116431,0.6170064879662301,0.3486725188424674,45.64680805889104,0.501022473143983,-0.028070175438596495,0.40178591060122304,400,0.9975,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
125
  TiRex,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.9004976891270604,1.50956448822586,0.1505316402294837,1.0297928910194565,5.948139550733763,3.601755309717661,-0.14235132122483773,0.00021946379155417484,303,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
126
  TiRex,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.468994721394927,0.8596170375096616,0.037194240537534014,0.6036450284928152,41.50715153356337,9.60643761665164,0.0716831683168317,0.28815304090301486,101,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
127
  TiRex,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,0.9553859737915604,0.7349143048700336,0.32749906333795475,0.5072903190827633,23.278273669160622,2.176305088417372,-0.2878411910669975,9.66939736663388e-08,156,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
134
  TimesFM-2.5,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,6.463929005172154,0.32551731651489557,,0.1338911421881129,-28.91530721256502,72.6818794993184,0.11274988329302482,0.011082988588219447,273,0.0,2026-06-29T10:05:00+00:00,2026-07-27T14:15:00+00:00
135
  TimesFM-2.5,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.0,0.0,,0.0,0.0,0.0,0.0,1.0,536,0.0,2026-06-25T14:45:00+00:00,2026-07-26T14:00:00+00:00
136
  TimesFM-2.5,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.3316526222970445,0.518229795992016,0.03950672721610399,0.3705334650768531,1.9642900030307806,0.3385346334229588,-0.31746031746031744,0.0177084999871278,28,1.0,2026-06-26T23:00:00+00:00,2026-07-24T23:00:00+00:00
137
+ TimesFM-2.5,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,0.17448931469062262,0.35656673752797174,0.26484915186726404,0.2748904753855771,62.61501599360679,0.2045072475628232,-0.011151475260433147,0.7397038857137405,398,0.9974874371859297,2026-06-29T10:00:00+00:00,2026-07-28T01:00:00+00:00
138
  TimesFM-2.5,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,2.703166389872372,1.471570467481978,0.13269632834168124,1.2324382704737284,7.1831678171112525,3.267827272052172,-0.09557843201538697,0.01309229016082298,303,1.0,2026-06-28T11:10:00+00:00,2026-07-26T16:10:00+00:00
139
  TimesFM-2.5,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,2.473458750158442,0.883920069404717,0.039945153768864705,0.7179661355505145,37.40913646012532,9.426150906207923,0.060606060606060615,0.3716242470071768,100,1.0,2026-07-04T00:00:00+00:00,2026-07-15T23:00:00+00:00
140
  TimesFM-2.5,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.0055797219013838,0.7517175499760977,0.3192245281916464,0.5773783063411879,19.355009320160686,2.3567786455997046,-0.31043150397989105,9.896939322329878e-09,155,1.0,2026-06-29T11:00:00+00:00,2026-07-27T05:00:00+00:00
 
147
  Toto-1.0,data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Climate,5min,36,11.886152335396913,1.5009737575603266,,0.18981941802749785,-87.70752351479314,87.34985267531607,5.5694792536897796e-05,0.9990895876247131,190,0.0,2026-07-03T04:20:00+00:00,2026-07-27T14:15:00+00:00
148
  Toto-1.0,data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Transportation,5min,12,0.5464916503397336,0.3122203325132686,,0.00027578725550207473,-100.0,3.5348920945268514,-0.016163943141399694,0.6300998771957171,398,0.0,2026-07-01T21:10:00+00:00,2026-07-26T14:00:00+00:00
149
  Toto-1.0,nasa_power_shanghai_hourly_T2M/1h/short,Weather,1h,24,0.706714315171903,0.6649440647216701,0.0315691235852417,0.3206082426601839,-12.340778812805832,1.3527117377628468,-0.18115942028985507,0.22687503195798614,24,1.0,2026-06-30T23:00:00+00:00,2026-07-24T23:00:00+00:00
150
+ Toto-1.0,noaa_coops_sf_water_level_water_level/6min/short,Ocean,6min,60,1.3122149672366819,0.9631675017453174,0.7635797715635193,0.39394466459514893,16.331076814203552,2.481563307623274,0.01878291233702233,0.6474024140869519,267,0.9962546816479401,2026-07-03T07:42:00+00:00,2026-07-28T01:00:00+00:00
151
  Toto-1.0,noaa_ndbc_46013_realtime_wave_height/10min/short,Ocean,10min,72,56.14875924941847,5.132806982419556,0.1302944255249655,1.0263062603348718,-65.21205046789127,181.67420637845436,-0.07425469267574533,0.11029860138297042,209,1.0,2026-07-02T10:10:00+00:00,2026-07-26T16:10:00+00:00
152
  Toto-1.0,nws_ksfo_observations_temperature/1h/short,Weather,1h,24,8.45680483631431,1.7566451020306872,0.03543346962187676,0.6053896244254073,-21.810618327960736,31.64405952117616,0.15141242937853108,0.0873982232047124,60,1.0,2026-07-07T21:00:00+00:00,2026-07-15T23:00:00+00:00
153
  Toto-1.0,open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Air Quality,1h,24,1.8393055244351615,1.1402356119049042,0.3920846653690491,0.4222532284837786,-31.208435602748082,3.1096309153263073,-0.42604298356510745,2.237398035686739e-11,113,1.0,2026-07-03T07:00:00+00:00,2026-07-27T05:00:00+00:00
results/aggregates/metadata.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "generated_at": "2026-07-28T01:02:49.053656+00:00",
3
  "baseline_model": "Seasonal-Naive",
4
  "normalization": "Per-config metric / Seasonal-Naive metric",
5
  "metric_aggregation": "Geometric mean over dataset configurations",
 
1
  {
2
+ "generated_at": "2026-07-28T01:18:42.751276+00:00",
3
  "baseline_model": "Seasonal-Naive",
4
  "normalization": "Per-config metric / Seasonal-Naive metric",
5
  "metric_aggregation": "Geometric mean over dataset configurations",
results/aggregates/results_by_domain.csv CHANGED
@@ -47,18 +47,18 @@ Hydrology,TimesFM-2.5,1.822857718065862,1.5697987766413375,9,1,1,1.0
47
  Hydrology,TabPFN-TS,1.7823948120487276,1.6723544394535688,10,1,1,1.0
48
  Hydrology,ETS,2.3101830377998778,1.8643116894683234,11,1,1,1.0
49
  Hydrology,ARIMA,1.7969075767873166,2.166778271475671,12,1,1,1.0
50
- Ocean,Sundial,0.3635939023512989,0.4942209527537893,1,2,2,1.0
51
- Ocean,Chronos-2,0.18728171452482495,0.41919182845949815,2,2,2,1.0
52
- Ocean,TimesFM-2.5,0.4917522673268715,0.5984138105629219,3,2,2,1.0
53
- Ocean,TiRex,0.29853120010867257,0.5411955372375756,4,2,2,1.0
54
- Ocean,Moving-Average,0.7078594389392459,0.7976959295046182,5,2,2,1.0
55
- Ocean,ARIMA,2.0206156930505004,1.2748003820694513,6,2,2,1.0
56
- Ocean,Chronos-Bolt,1.297848616003248,0.9320867023575976,7,2,2,1.0
57
- Ocean,Toto-1.0,3.2969405222979256,0.7295094371260696,8,2,2,1.0
58
- Ocean,TabPFN-TS,1.0953700475755854,1.0009042732722992,9,2,2,1.0
59
- Ocean,Seasonal-Naive,1.0,1.0,10,2,2,1.0
60
- Ocean,Moirai-2.0,1.8023318083908144,1.2195267974684028,11,2,2,1.0
61
- Ocean,ETS,2.5552607893409127,1.4887900908387093,12,2,2,1.0
62
  Transportation,Seasonal-Naive,1.0,1.0,1,1,1,1.0
63
  Transportation,TabPFN-TS,1.0,1.0,2,1,1,1.0
64
  Transportation,TimesFM-2.5,1.0,1.0,3,1,1,1.0
 
47
  Hydrology,TabPFN-TS,1.7823948120487276,1.6723544394535688,10,1,1,1.0
48
  Hydrology,ETS,2.3101830377998778,1.8643116894683234,11,1,1,1.0
49
  Hydrology,ARIMA,1.7969075767873166,2.166778271475671,12,1,1,1.0
50
+ Ocean,Sundial,0.48228798448389376,0.5634499277519537,1,2,2,1.0
51
+ Ocean,Moving-Average,0.5615559138192499,0.7295325981764587,2,2,2,1.0
52
+ Ocean,TiRex,0.6069904501867864,0.6895789871096983,3,2,2,1.0
53
+ Ocean,TimesFM-2.5,0.8016429234088965,0.91779313986173,4,2,2,1.0
54
+ Ocean,ARIMA,1.8525415448794054,1.3015547795103244,5,2,2,1.0
55
+ Ocean,Chronos-Bolt,1.657860064264844,1.1643911832196803,6,2,2,1.0
56
+ Ocean,Toto-1.0,7.8333405156956974,0.9036180990636575,7,2,2,1.0
57
+ Ocean,TabPFN-TS,0.875607104706072,1.0006935550259701,8,2,2,1.0
58
+ Ocean,Seasonal-Naive,1.0,1.0,9,2,2,1.0
59
+ Ocean,Chronos-2,1.5744013702557007,0.9590381079423551,10,2,2,1.0
60
+ Ocean,Moirai-2.0,1.3309101425628898,0.9422494668850941,11,2,2,1.0
61
+ Ocean,ETS,2.4040147517415074,1.5402707598612637,12,2,2,1.0
62
  Transportation,Seasonal-Naive,1.0,1.0,1,1,1,1.0
63
  Transportation,TabPFN-TS,1.0,1.0,2,1,1,1.0
64
  Transportation,TimesFM-2.5,1.0,1.0,3,1,1,1.0
results/aggregates/results_by_frequency.csv CHANGED
@@ -47,15 +47,15 @@ frequency,model,MSE,CRPS,Rank,n_configs,n_group_configs,coverage
47
  5min,Chronos-Bolt,1.0459942197556757,461166.5554836744,10,2,2,1.0
48
  5min,Moirai-2.0,1.0,374952.8836038598,11,2,2,1.0
49
  5min,Toto-1.0,1990212323.7483912,277852357.50672776,12,2,2,1.0
50
- 6min,Chronos-2,0.04081147896962984,0.2236571572563338,1,1,1,1.0
51
- 6min,Sundial,0.19822394496629273,0.3438259296786262,2,1,1,1.0
52
- 6min,TiRex,0.12345689790692951,0.3766069310099442,3,1,1,1.0
53
- 6min,TimesFM-2.5,0.38825812546829525,0.46994434742236973,4,1,1,1.0
54
- 6min,Toto-1.0,0.7610137321979557,0.6757279604996772,5,1,1,1.0
55
- 6min,TabPFN-TS,0.8664339250546542,0.8052577940799842,6,1,1,1.0
56
- 6min,Moving-Average,0.723129710016281,0.8742950203142352,7,1,1,1.0
57
- 6min,Seasonal-Naive,1.0,1.0,8,1,1,1.0
58
- 6min,Chronos-Bolt,2.2810721418703457,1.1271653154396037,9,1,1,1.0
59
- 6min,Moirai-2.0,4.213546469468556,1.857991957010876,10,1,1,1.0
60
- 6min,ARIMA,6.975166096363908,2.485616408872458,11,1,1,1.0
61
- 6min,ETS,9.15216725514228,2.818601055307177,12,1,1,1.0
 
47
  5min,Chronos-Bolt,1.0459942197556757,461166.5554836744,10,2,2,1.0
48
  5min,Moirai-2.0,1.0,374952.8836038598,11,2,2,1.0
49
  5min,Toto-1.0,1990212323.7483912,277852357.50672776,12,2,2,1.0
50
+ 6min,Sundial,0.3487673463245832,0.44689652107170585,1,1,1,1.0
51
+ 6min,TiRex,0.5103870226749679,0.6114316749197464,2,1,1,1.0
52
+ 6min,Moving-Average,0.4551013883720313,0.7312614141590786,3,1,1,1.0
53
+ 6min,TabPFN-TS,0.5536461445307892,0.8049187713516509,4,1,1,1.0
54
+ 6min,Seasonal-Naive,1.0,1.0,5,1,1,1.0
55
+ 6min,Toto-1.0,4.2960000740823485,1.0367639865716796,6,1,1,1.0
56
+ 6min,TimesFM-2.5,1.0317862540309095,1.1054340272135657,7,1,1,1.0
57
+ 6min,Moirai-2.0,2.2976070893813665,1.1091567713023864,8,1,1,1.0
58
+ 6min,Chronos-2,2.8841809131258267,1.1706549700842446,9,1,1,1.0
59
+ 6min,Chronos-Bolt,3.722088405591699,1.7590282274807272,10,1,1,1.0
60
+ 6min,ARIMA,5.863042238156887,2.5910431164173358,11,1,1,1.0
61
+ 6min,ETS,8.100796890805249,3.0168992914862858,12,1,1,1.0
results/aggregates/results_by_prediction_length.csv CHANGED
@@ -35,18 +35,18 @@ prediction_length,model,MSE,CRPS,Rank,n_configs,n_group_configs,coverage
35
  36,Moving-Average,1.0,254380.30798153122,10,1,1,1.0
36
  36,Moirai-2.0,1.0,342858.54030437075,11,1,1,1.0
37
  36,Toto-1.0,78682048474.99077,277761189.68509996,12,1,1,1.0
38
- 60,Chronos-2,0.04081147896962984,0.2236571572563338,1,1,1,1.0
39
- 60,Sundial,0.19822394496629273,0.3438259296786262,2,1,1,1.0
40
- 60,TiRex,0.12345689790692951,0.3766069310099442,3,1,1,1.0
41
- 60,TimesFM-2.5,0.38825812546829525,0.46994434742236973,4,1,1,1.0
42
- 60,Toto-1.0,0.7610137321979557,0.6757279604996772,5,1,1,1.0
43
- 60,TabPFN-TS,0.8664339250546542,0.8052577940799842,6,1,1,1.0
44
- 60,Moving-Average,0.723129710016281,0.8742950203142352,7,1,1,1.0
45
- 60,Seasonal-Naive,1.0,1.0,8,1,1,1.0
46
- 60,Chronos-Bolt,2.2810721418703457,1.1271653154396037,9,1,1,1.0
47
- 60,Moirai-2.0,4.213546469468556,1.857991957010876,10,1,1,1.0
48
- 60,ARIMA,6.975166096363908,2.485616408872458,11,1,1,1.0
49
- 60,ETS,9.15216725514228,2.818601055307177,12,1,1,1.0
50
  72,ARIMA,0.5853463161444038,0.6538080487091793,1,1,1,1.0
51
  72,Sundial,0.6669251076075907,0.7104011915831,2,1,1,1.0
52
  72,Moving-Average,0.6929116289304482,0.7278078693843344,3,1,1,1.0
 
35
  36,Moving-Average,1.0,254380.30798153122,10,1,1,1.0
36
  36,Moirai-2.0,1.0,342858.54030437075,11,1,1,1.0
37
  36,Toto-1.0,78682048474.99077,277761189.68509996,12,1,1,1.0
38
+ 60,Sundial,0.3487673463245832,0.44689652107170585,1,1,1,1.0
39
+ 60,TiRex,0.5103870226749679,0.6114316749197464,2,1,1,1.0
40
+ 60,Moving-Average,0.4551013883720313,0.7312614141590786,3,1,1,1.0
41
+ 60,TabPFN-TS,0.5536461445307892,0.8049187713516509,4,1,1,1.0
42
+ 60,Seasonal-Naive,1.0,1.0,5,1,1,1.0
43
+ 60,Toto-1.0,4.2960000740823485,1.0367639865716796,6,1,1,1.0
44
+ 60,TimesFM-2.5,1.0317862540309095,1.1054340272135657,7,1,1,1.0
45
+ 60,Moirai-2.0,2.2976070893813665,1.1091567713023864,8,1,1,1.0
46
+ 60,Chronos-2,2.8841809131258267,1.1706549700842446,9,1,1,1.0
47
+ 60,Chronos-Bolt,3.722088405591699,1.7590282274807272,10,1,1,1.0
48
+ 60,ARIMA,5.863042238156887,2.5910431164173358,11,1,1,1.0
49
+ 60,ETS,8.100796890805249,3.0168992914862858,12,1,1,1.0
50
  72,ARIMA,0.5853463161444038,0.6538080487091793,1,1,1,1.0
51
  72,Sundial,0.6669251076075907,0.7104011915831,2,1,1,1.0
52
  72,Moving-Average,0.6929116289304482,0.7278078693843344,3,1,1,1.0
results/aggregates/results_overall.csv CHANGED
@@ -1,13 +1,13 @@
1
  overall,model,MSE,CRPS,Rank,n_configs,n_group_configs,coverage
2
- Overall,TiRex,0.7274124589463101,3.133231764528986,1,12,12,1.0
3
- Overall,Sundial,0.786396301241797,4.635469062321733,2,12,12,1.0
4
- Overall,Chronos-2,0.8016861795629415,2.993414992250487,3,12,12,1.0
5
- Overall,TimesFM-2.5,0.8215330246701777,0.9189556267630763,4,12,12,1.0
6
- Overall,Seasonal-Naive,1.0,1.0,5,12,12,1.0
7
- Overall,TabPFN-TS,0.8158200209107423,0.9565070855775092,6,12,12,1.0
8
- Overall,Toto-1.0,94.37845208105712,21.618942395242758,7,12,12,1.0
9
- Overall,Moving-Average,1.419222942029952,9.638787245937582,8,12,12,1.0
10
- Overall,Chronos-Bolt,1.0949882640042732,8.514267128835796,9,12,12,1.0
11
- Overall,Moirai-2.0,1.1753009673612107,8.720370995044656,10,12,12,1.0
12
- Overall,ARIMA,2.8127465532292644,15.210837874073626,11,12,12,1.0
13
- Overall,ETS,6.191598473811765,20.918024408446165,12,12,12,1.0
 
1
  overall,model,MSE,CRPS,Rank,n_configs,n_group_configs,coverage
2
+ Overall,TiRex,0.8187401544328665,3.2623520319563073,1,12,12,1.0
3
+ Overall,Sundial,0.8243084857237194,4.7378653713136645,2,12,12,1.0
4
+ Overall,Seasonal-Naive,1.0,1.0,3,12,12,1.0
5
+ Overall,TabPFN-TS,0.7859334292941694,0.9564735207329325,4,12,12,1.0
6
+ Overall,TimesFM-2.5,0.8912457220730888,0.9868513536646807,5,12,12,1.0
7
+ Overall,Chronos-2,1.143161905941928,3.4361393830814597,6,12,12,1.0
8
+ Overall,Moving-Average,1.3654997321454196,9.496355161345459,7,12,12,1.0
9
+ Overall,Toto-1.0,109.02150316061635,22.404062666700817,8,12,12,1.0
10
+ Overall,Moirai-2.0,1.1173813666555676,8.353414923405241,9,12,12,1.0
11
+ Overall,Chronos-Bolt,1.1405914272833024,8.835972815877492,10,12,12,1.0
12
+ Overall,ARIMA,2.772328185047061,15.263583790539306,11,12,12,1.0
13
+ Overall,ETS,6.128955020118999,21.036876901654274,12,12,12,1.0
results/arima/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,A
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,ARIMA,4.407835548068247e-15,1.12132504091072e-14,nan,nan,nan,nan,nan,6.639153220154094e-08,nan,nan,2.543803079815313e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,ARIMA,9.578202015526527e-15,9.143141084502762e-15,nan,nan,nan,nan,nan,9.786828912128038e-08,nan,nan,2.502171382189061e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,ARIMA,3.135466967901013,3.201931762072862,nan,nan,0.1023625171142742,nan,nan,1.7707249837004653,nan,nan,1.3510313576748605,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,ARIMA,4.294706094868453,4.293970181773267,nan,nan,11.186870038166296,nan,nan,2.072367268335527,nan,nan,1.6506084142268782,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,ARIMA,1.1344951053732675,1.0837997734108435,nan,nan,0.09497502061556684,nan,nan,1.0651268024856324,nan,nan,0.7479745847077172,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,ARIMA,0.33228586127163234,0.22104454915678584,0.36362891565490346,0.26312846157942765,0.022250183536134175,0.02191393413024315,2.960766211760618,0.5764424180016876,0.03447450399419848,0.021747057665548703,0.019463503681897795,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,ARIMA,0.18230749922286849,0.183752748404339,nan,nan,0.7388780687520423,nan,nan,0.42697482270371456,nan,nan,0.3354118428799675,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,ARIMA,4.407835548068247e-15,1.12132504091072e-14,nan,nan,nan,nan,nan,6.639153220154094e-08,nan,nan,2.543803079815313e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,ARIMA,9.578202015526527e-15,9.143141084502762e-15,nan,nan,nan,nan,nan,9.786828912128038e-08,nan,nan,2.502171382189061e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,ARIMA,3.135466967901013,3.201931762072862,nan,nan,0.1023625171142742,nan,nan,1.7707249837004653,nan,nan,1.3510313576748605,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,ARIMA,0.8104779381236882,0.8008339331275771,nan,nan,0.38991744977631015,nan,nan,0.9002654820238796,nan,nan,0.7498835649196879,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,ARIMA,1.1344951053732675,1.0837997734108435,nan,nan,0.09497502061556684,nan,nan,1.0651268024856324,nan,nan,0.7479745847077172,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,ARIMA,0.33228586127163234,0.22104454915678584,0.36362891565490346,0.26312846157942765,0.022250183536134175,0.02191393413024315,2.960766211760618,0.5764424180016876,0.03447450399419848,0.021747057665548703,0.019463503681897795,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,ARIMA,0.18230749922286849,0.183752748404339,nan,nan,0.7388780687520423,nan,nan,0.42697482270371456,nan,nan,0.3354118428799675,Air Quality,1,24
results/arima/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.644953+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:12.942013+00:00",
14
- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.294795+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.415497+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/chronos_2/all_results.csv CHANGED
@@ -1,3 +1,15 @@
1
- dataset,model,eval_metrics/MSE[mean],eval_metrics/MSE[0.5],eval_metrics/MAE[0.5],eval_metrics/MASE[0.5],eval_metrics/MAPE[0.5],eval_metrics/sMAPE[0.5],eval_metrics/MSIS,eval_metrics/RMSE[mean],eval_metrics/NRMSE[mean],eval_metrics/ND[0.5],eval_metrics/mean_weighted_sum_quantile_loss,domain,num_variates
2
- binance_btcusdt_1h_close/1h/short,Chronos-2,253427.98031171164,253427.98031171164,430.1599934895833,0.9318014749305178,0.007149086996462027,0.007183290602900378,3.2641156533937963,503.4163091435474,0.008389478022961463,0.007168654940634957,0.006453564120717358,Finance,1
3
- coingecko_bitcoin_7d_price_usd/1h/short,Chronos-2,151474.27375920615,151474.27375920615,331.1985677083333,0.6128762551879093,0.00555338622541073,0.005536958612993723,3.7665332417731356,389.19696011043834,0.006507699932794779,0.005537918117874429,0.004363665891866698,Finance,1
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset,model,eval_metrics/MSE[mean],eval_metrics/MSE[0.5],eval_metrics/MAE[0.5],eval_metrics/MASE[0.5],eval_metrics/MAPE[0.5],eval_metrics/sMAPE[0.5],eval_metrics/MSIS,eval_metrics/RMSE[mean],eval_metrics/NRMSE[mean],eval_metrics/ND[0.5],eval_metrics/mean_weighted_sum_quantile_loss,domain,num_variates,prediction_length
2
+ binance_btcusdt_1h_close/1h/short,Chronos-2,0.17505582868640848,0.17505582868640848,nan,nan,0.003231618795337522,nan,nan,0.41839673598919064,nan,nan,0.2881331988179761,Finance,1,24
3
+ coingecko_bitcoin_7d_price_usd/1h/short,Chronos-2,0.46766119047554405,0.46766119047554405,nan,nan,0.007905167973149461,nan,nan,0.6838575805498862,nan,nan,0.46522569178545187,Finance,1,24
4
+ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,Chronos-2,25067.461899718543,25067.461899718543,121.96686029434204,1.2859549577545721,0.6608019070822674,0.9393767274480805,18.969076544647905,158.32707254199624,0.9747204171363386,0.7508734105557137,0.605299940786381,Finance,1,12
5
+ data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Chronos-2,1.6284716271939715e-18,1.6284716271939715e-18,nan,nan,nan,nan,nan,1.2761158361191085e-09,nan,nan,1.8284365387902989e-09,Climate,1,36
6
+ data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Chronos-2,1.7296862743653321e-18,1.7296862743653321e-18,nan,nan,nan,nan,nan,1.3151753777977035e-09,nan,nan,2.356162747109682e-09,Transportation,1,12
7
+ nasa_power_shanghai_hourly_T2M/1h/short,Chronos-2,0.06025211913342343,0.06025211913342343,nan,nan,0.014048149370033328,nan,nan,0.24546307081396873,nan,nan,0.16759977605525547,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Chronos-2,0.39869489331544644,0.39869489331544644,nan,nan,0.23653810805327471,nan,nan,0.6314229116174408,nan,nan,0.3388036720406042,Ocean,1,60
9
+ noaa_ndbc_46013_realtime_wave_height/10min/short,Chronos-2,1.6657052582798209,1.6657052582798209,nan,nan,0.11908254245050692,nan,nan,1.2906220431558655,nan,nan,0.8988337976886078,Ocean,1,72
10
+ nws_ksfo_observations_temperature/1h/short,Chronos-2,0.22763978935275495,0.22763978935275495,0.4551292260487874,0.3293397414624391,0.02734639793034648,0.02740698654518156,1.2449814398684094,0.4771161172636646,0.02853423165374086,0.027219291695583462,0.02293888289302154,Weather,1,24
11
+ open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Chronos-2,0.03526190188175566,0.03526190188175566,nan,nan,0.2142754133607554,nan,nan,0.1877815269981466,nan,nan,0.1128105078936095,Air Quality,1,24
12
+ open_meteo_shanghai_hourly_temperature_2m/1h/short,Chronos-2,0.16410673128769995,0.16410673128769995,nan,nan,0.03774184875099514,nan,nan,0.4051008902578467,nan,nan,0.20244880321228498,Weather,1,24
13
+ usgs_earthquake_all_week_hourly_earthquake_count/1h/short,Chronos-2,0.6326804740446184,0.6326804740446184,nan,nan,0.4433038595658039,nan,nan,0.7954121409964889,nan,nan,0.49632226407417623,Hazards,1,24
14
+ usgs_potomac_iv_usgs_00060/15min/short,Chronos-2,5.076688428663051,5.076688428663051,nan,nan,0.07430929788919967,nan,nan,2.253150778057929,nan,nan,1.710286926999298,Hydrology,1,24
15
+ wikimedia_time_series_hourly_pageviews/1D/short,Chronos-2,0.5379146607901764,0.5379146607901764,nan,nan,0.17100514688638668,nan,nan,0.7334266567218404,nan,nan,0.48842848142456025,Web,1,7
results/chronos_2/config.json CHANGED
@@ -3,9 +3,12 @@
3
  "model_type": "zero-shot",
4
  "model_dtype": "float32",
5
  "model_link": "https://tsfm.ai/models/amazon/chronos-2",
6
- "code_link": "https://github.com/zhouziyu02/TSFM_Bench/blob/main/scripts/run_online_eval.py",
7
  "org": "Amazon / TSFM.ai",
8
  "testdata_leakage": "No",
9
  "replication_code_available": "Yes",
10
- "api_model_id": "amazon/chronos-2"
 
 
 
11
  }
 
3
  "model_type": "zero-shot",
4
  "model_dtype": "float32",
5
  "model_link": "https://tsfm.ai/models/amazon/chronos-2",
6
+ "code_link": "https://github.com/zhouziyu02/TS-Live/blob/main/scripts/run_online_eval.py",
7
  "org": "Amazon / TSFM.ai",
8
  "testdata_leakage": "No",
9
  "replication_code_available": "Yes",
10
+ "api_model_id": "amazon/chronos-2",
11
+ "admitted_at": "2026-06-01T00:00:00Z",
12
+ "evaluation_protocol": "issue-now-score-later",
13
+ "metric_version": "livehouse-canonical-v1"
14
  }
results/chronos_2/online_meta.json CHANGED
@@ -1,19 +1,19 @@
1
  {
2
  "model": "Chronos-2",
3
  "api_model_id": "amazon/chronos-2",
4
- "evaluated_at": "2026-06-30T10:59:48.162083+00:00",
5
- "datasets": [
 
 
 
6
  {
7
- "dataset": "task_binance_btcusdt_1h_crypto_btcusdt_close_20260628t230000z",
8
- "data_fetched_at": "2026-06-30T10:58:37.207440Z",
9
- "context_length": 48,
10
- "prediction_length": 24
11
- },
12
- {
13
- "dataset": "task_coingecko_bitcoin_7d_coin_bitcoin_price_usd_20260629t100204z",
14
- "data_fetched_at": "2026-06-30T10:58:37.207440Z",
15
- "context_length": 96,
16
- "prediction_length": 24
17
  }
18
  ]
19
  }
 
1
  {
2
  "model": "Chronos-2",
3
  "api_model_id": "amazon/chronos-2",
4
+ "admitted_at": "2026-06-01T00:00:00Z",
5
+ "evaluation_protocol": "issue-now-score-later",
6
+ "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.208907+00:00",
8
+ "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.456053+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
+ "metric_version": "livehouse-canonical-v1"
 
 
 
17
  }
18
  ]
19
  }
results/chronos_bolt/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,C
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Chronos-Bolt,3.2825236033380433e-15,3.2825236033380433e-15,nan,nan,nan,nan,nan,5.729331202974779e-08,nan,nan,6.615357107869962e-08,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Chronos-Bolt,1.0941039077622847e-12,1.0941039077622847e-12,nan,nan,nan,nan,nan,1.0459942197556757e-06,nan,nan,3.2148618499168906e-06,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Chronos-Bolt,0.14618389699689283,0.14618389699689283,nan,nan,0.0223592580184212,nan,nan,0.3823400279814982,nan,nan,0.21171284259484002,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,Chronos-Bolt,1.4044876201058578,1.4044876201058578,nan,nan,5.818064918962027,nan,nan,1.1851108049907644,nan,nan,0.7485099258470376,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Chronos-Bolt,1.4311949431698534,1.4311949431698534,nan,nan,0.10710830624934586,nan,nan,1.1963256008168734,nan,nan,0.8817827253991883,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Chronos-Bolt,0.3455539255669464,0.3455539255669464,0.35915493965148926,0.2598910116071078,0.022263105377559073,0.021625170449781378,1.7395006304410234,0.5878383498606963,0.035156044918533885,0.021479488696328264,0.02138024583258913,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Chronos-Bolt,0.0315256687512563,0.0315256687512563,nan,nan,0.22687084756933662,nan,nan,0.17755469228172005,nan,nan,0.11324269104945375,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Chronos-Bolt,3.2825236033380433e-15,3.2825236033380433e-15,nan,nan,nan,nan,nan,5.729331202974779e-08,nan,nan,6.615357107869962e-08,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Chronos-Bolt,1.0941039077622847e-12,1.0941039077622847e-12,nan,nan,nan,nan,nan,1.0459942197556757e-06,nan,nan,3.2148618499168906e-06,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Chronos-Bolt,0.14618389699689283,0.14618389699689283,nan,nan,0.0223592580184212,nan,nan,0.3823400279814982,nan,nan,0.21171284259484002,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Chronos-Bolt,0.5145230776004729,0.5145230776004729,nan,nan,0.31943982244915026,nan,nan,0.7173026401739178,nan,nan,0.5090869965303763,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Chronos-Bolt,1.4311949431698534,1.4311949431698534,nan,nan,0.10710830624934586,nan,nan,1.1963256008168734,nan,nan,0.8817827253991883,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Chronos-Bolt,0.3455539255669464,0.3455539255669464,0.35915493965148926,0.2598910116071078,0.022263105377559073,0.021625170449781378,1.7395006304410234,0.5878383498606963,0.035156044918533885,0.021479488696328264,0.02138024583258913,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Chronos-Bolt,0.0315256687512563,0.0315256687512563,nan,nan,0.22687084756933662,nan,nan,0.17755469228172005,nan,nan,0.11324269104945375,Air Quality,1,24
results/chronos_bolt/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.564256+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:13.014805+00:00",
14
- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.235058+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.480997+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/dataset_eval_intervals.json CHANGED
@@ -1,7 +1,6 @@
1
  {
2
  "binance_btcusdt_1h_close": 300,
3
  "coingecko_bitcoin_7d_price_usd": 300,
4
- "data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd": 2592000,
5
  "data_gov_sg_singapore_rainfall_5min_rainfall_5min_total": 900,
6
  "data_gov_sg_singapore_taxi_availability_available_taxi_count": 300,
7
  "nasa_power_shanghai_hourly_T2M": 3600,
@@ -11,6 +10,5 @@
11
  "open_meteo_shanghai_air_quality_hourly_pm2_5": 3600,
12
  "open_meteo_shanghai_hourly_temperature_2m": 3600,
13
  "usgs_earthquake_all_week_hourly_earthquake_count": 3600,
14
- "usgs_potomac_iv_usgs_00060": 900,
15
- "wikimedia_time_series_hourly_pageviews": 86400
16
  }
 
1
  {
2
  "binance_btcusdt_1h_close": 300,
3
  "coingecko_bitcoin_7d_price_usd": 300,
 
4
  "data_gov_sg_singapore_rainfall_5min_rainfall_5min_total": 900,
5
  "data_gov_sg_singapore_taxi_availability_available_taxi_count": 300,
6
  "nasa_power_shanghai_hourly_T2M": 3600,
 
10
  "open_meteo_shanghai_air_quality_hourly_pm2_5": 3600,
11
  "open_meteo_shanghai_hourly_temperature_2m": 3600,
12
  "usgs_earthquake_all_week_hourly_earthquake_count": 3600,
13
+ "usgs_potomac_iv_usgs_00060": 900
 
14
  }
results/dataset_properties.csv CHANGED
@@ -1,6 +1,8 @@
1
  dataset,domain,frequency,num_variates
2
  binance_btcusdt_1h_close,Finance,1h,1
3
  coingecko_bitcoin_7d_price_usd,Finance,1h,1
 
 
4
  nasa_power_shanghai_hourly_t2m,Weather,1h,1
5
  noaa_coops_sf_water_level_water_level,Ocean,6min,1
6
  noaa_ndbc_46013_realtime_wave_height,Ocean,10min,1
@@ -9,4 +11,3 @@ open_meteo_shanghai_air_quality_hourly_pm2_5,Air Quality,1h,1
9
  open_meteo_shanghai_hourly_temperature_2m,Weather,1h,1
10
  usgs_earthquake_all_week_hourly_earthquake_count,Hazards,1h,1
11
  usgs_potomac_iv_usgs_00060,Hydrology,15min,1
12
- wikimedia_time_series_hourly_pageviews,Web,1D,1
 
1
  dataset,domain,frequency,num_variates
2
  binance_btcusdt_1h_close,Finance,1h,1
3
  coingecko_bitcoin_7d_price_usd,Finance,1h,1
4
+ data_gov_sg_singapore_rainfall_5min_rainfall_5min_total,Climate,5min,1
5
+ data_gov_sg_singapore_taxi_availability_available_taxi_count,Transportation,5min,1
6
  nasa_power_shanghai_hourly_t2m,Weather,1h,1
7
  noaa_coops_sf_water_level_water_level,Ocean,6min,1
8
  noaa_ndbc_46013_realtime_wave_height,Ocean,10min,1
 
11
  open_meteo_shanghai_hourly_temperature_2m,Weather,1h,1
12
  usgs_earthquake_all_week_hourly_earthquake_count,Hazards,1h,1
13
  usgs_potomac_iv_usgs_00060,Hydrology,15min,1
 
results/ets/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,E
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,ETS,4.407835548068247e-15,1.12132504091072e-14,nan,nan,nan,nan,nan,6.639153220154094e-08,nan,nan,2.543803079815313e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,ETS,9.578202015526527e-15,9.143141084502762e-15,nan,nan,nan,nan,nan,9.786828912128038e-08,nan,nan,2.502171382189061e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,ETS,9.72254979744294,9.901571756927,nan,nan,0.1997997084916222,nan,nan,3.1181003507653404,nan,nan,2.518724944686868,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,ETS,5.635115773430087,5.610238580103159,nan,nan,12.470485439909277,nan,nan,2.373839879484311,nan,nan,1.8717315357397568,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,ETS,1.382726385652977,1.3752027765806858,nan,nan,0.1064178293610573,nan,nan,1.1758938666618586,nan,nan,0.8996423835046102,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,ETS,7.485363061070757,7.069546909402846,2.3835086205114373,1.7247499565509898,0.14388404150048517,0.1583681265446001,69.43260805973387,2.7359391552208825,0.1636245744397495,0.1425472430409996,0.1432604803385527,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,ETS,2.5428888835315244,2.530076537593773,nan,nan,2.5997353215947006,nan,nan,1.5946438108654624,nan,nan,1.342557334959072,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,ETS,4.407835548068247e-15,1.12132504091072e-14,nan,nan,nan,nan,nan,6.639153220154094e-08,nan,nan,2.543803079815313e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,ETS,9.578202015526527e-15,9.143141084502762e-15,nan,nan,nan,nan,nan,9.786828912128038e-08,nan,nan,2.502171382189061e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,ETS,9.72254979744294,9.901571756927,nan,nan,0.1997997084916222,nan,nan,3.1181003507653404,nan,nan,2.518724944686868,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,ETS,1.1198140648706234,1.1307116773411454,nan,nan,0.46222989610505666,nan,nan,1.0582126746881382,nan,nan,0.8731322073989862,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,ETS,1.382726385652977,1.3752027765806858,nan,nan,0.1064178293610573,nan,nan,1.1758938666618586,nan,nan,0.8996423835046102,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,ETS,7.485363061070757,7.069546909402846,2.3835086205114373,1.7247499565509898,0.14388404150048517,0.1583681265446001,69.43260805973387,2.7359391552208825,0.1636245744397495,0.1425472430409996,0.1432604803385527,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,ETS,2.5428888835315244,2.530076537593773,nan,nan,2.5997353215947006,nan,nan,1.5946438108654624,nan,nan,1.342557334959072,Air Quality,1,24
results/ets/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.628348+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:13.074539+00:00",
14
- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.287906+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.501915+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/moirai_2_0/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,M
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Moirai-2.0,7.853649481634599e-14,7.853649481634599e-14,nan,nan,nan,nan,nan,2.8024363474724275e-07,nan,nan,3.428585403043706e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Moirai-2.0,1.2167879962794955e-13,1.2167879962794955e-13,nan,nan,nan,nan,nan,3.488248839001449e-07,nan,nan,4.100515180343539e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Moirai-2.0,0.11768236873357002,0.11768236873357002,nan,nan,0.019765022792300333,nan,nan,0.34304863902013955,nan,nan,0.19215746258783267,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,Moirai-2.0,2.594338751713929,2.594338751713929,nan,nan,10.226331288606781,nan,nan,1.6106951144502577,nan,nan,1.2338256003062058,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Moirai-2.0,1.4942093301403228,1.4942093301403228,nan,nan,0.11234035223885291,nan,nan,1.2223785543522607,nan,nan,0.9157468734477509,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Moirai-2.0,0.14372890600255536,0.14372890600255536,0.31227461496988934,0.22596756058122644,0.019022853516839414,0.018851775659897613,1.4879776077653897,0.3791159532419539,0.02267326975973139,0.018675781179300244,0.020424282056145146,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Moirai-2.0,0.10564495280678117,0.10564495280678117,nan,nan,0.5133721685666653,nan,nan,0.3250306951762882,nan,nan,0.18316449274985008,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Moirai-2.0,7.853649481634599e-14,7.853649481634599e-14,nan,nan,nan,nan,nan,2.8024363474724275e-07,nan,nan,3.428585403043706e-07,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Moirai-2.0,1.2167879962794955e-13,1.2167879962794955e-13,nan,nan,nan,nan,nan,3.488248839001449e-07,nan,nan,4.100515180343539e-07,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Moirai-2.0,0.11768236873357002,0.11768236873357002,nan,nan,0.019765022792300333,nan,nan,0.34304863902013955,nan,nan,0.19215746258783267,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Moirai-2.0,0.31760983134338966,0.31760983134338966,nan,nan,0.25041462947181964,nan,nan,0.5635688346097482,nan,nan,0.32100524628439947,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Moirai-2.0,1.4942093301403228,1.4942093301403228,nan,nan,0.11234035223885291,nan,nan,1.2223785543522607,nan,nan,0.9157468734477509,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Moirai-2.0,0.14372890600255536,0.14372890600255536,0.31227461496988934,0.22596756058122644,0.019022853516839414,0.018851775659897613,1.4879776077653897,0.3791159532419539,0.02267326975973139,0.018675781179300244,0.020424282056145146,Weather,1,24
11
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497
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498
+ "metric_version": "livehouse-canonical-v1"
499
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results/prequential/tasks/future-3eca09229aa7baa49732.json CHANGED
@@ -493,7 +493,23 @@
493
  "data_fetched_at": "2026-07-27T19:23:29.810369Z",
494
  "task_id": "future-3eca09229aa7baa49732",
495
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496
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497
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498
- "metric_version": "livehouse-canonical-v1"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
499
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493
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494
  "task_id": "future-3eca09229aa7baa49732",
495
  "issued_at": "2026-07-27T19:23:56.820632+00:00",
496
+ "status": "resolved",
497
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498
+ "ARIMA",
499
+ "Chronos-2",
500
+ "Chronos-Bolt",
501
+ "ETS",
502
+ "Moirai-2.0",
503
+ "Moving-Average",
504
+ "Seasonal-Naive",
505
+ "Sundial",
506
+ "TabPFN-TS",
507
+ "TiRex",
508
+ "TimesFM-2.5",
509
+ "Toto-1.0"
510
+ ],
511
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512
+ "resolved_at": "2026-07-28T01:14:58.769276+00:00",
513
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514
+ "target_end": "2026-07-28T01:00:00"
515
  }
results/seasonal_naive/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,S
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Seasonal-Naive,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Seasonal-Naive,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Seasonal-Naive,0.020712422371823382,0.020712422371823382,nan,nan,0.010527548320909305,nan,nan,0.14391810995084456,nan,nan,0.09361181488049151,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,Seasonal-Naive,0.6157138103287957,0.6157138103287957,nan,nan,9.765047670200302,nan,nan,0.7846743339301954,nan,nan,0.6640640158050929,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Seasonal-Naive,1.9381604941943291,1.9381604941943291,nan,nan,0.1269149731679833,nan,nan,1.3921783270092698,nan,nan,1.1440278017140537,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Seasonal-Naive,1.4220830567678604,1.4220830567678604,1.1374998887379963,0.8231154973782487,0.06849731872919221,0.06598468274623316,18.192842105640498,1.1925112396819832,0.07131889016436462,0.06802890147057772,0.06090870857230404,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Seasonal-Naive,0.012839820821143285,0.012839820821143285,nan,nan,0.12573229372802033,nan,nan,0.11331293315920864,nan,nan,0.08558102887643954,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Seasonal-Naive,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Seasonal-Naive,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Seasonal-Naive,0.020712422371823382,0.020712422371823382,nan,nan,0.010527548320909305,nan,nan,0.14391810995084456,nan,nan,0.09361181488049151,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Seasonal-Naive,0.13823505020125373,0.13823505020125373,nan,nan,0.1419691907248947,nan,nan,0.3717997447568432,nan,nan,0.28941377322835155,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Seasonal-Naive,1.9381604941943291,1.9381604941943291,nan,nan,0.1269149731679833,nan,nan,1.3921783270092698,nan,nan,1.1440278017140537,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Seasonal-Naive,1.4220830567678604,1.4220830567678604,1.1374998887379963,0.8231154973782487,0.06849731872919221,0.06598468274623316,18.192842105640498,1.1925112396819832,0.07131889016436462,0.06802890147057772,0.06090870857230404,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Seasonal-Naive,0.012839820821143285,0.012839820821143285,nan,nan,0.12573229372802033,nan,nan,0.11331293315920864,nan,nan,0.08558102887643954,Air Quality,1,24
results/seasonal_naive/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
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5
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7
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  {
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16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
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7
+ "evaluated_at": "2026-07-28T01:18:41.299908+00:00",
8
  "resolved_tasks": [
9
  {
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11
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12
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+ "prediction_length": 60,
16
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17
  }
18
  ]
results/sundial/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,S
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Sundial,2.7142445404425664e-15,3.744719947449526e-15,nan,nan,nan,nan,nan,5.2098412072179e-08,nan,nan,5.473062218444397e-08,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Sundial,5.361544315545145e-16,6.362543388780521e-16,nan,nan,nan,nan,nan,2.315500877897727e-08,nan,nan,2.1140121719009097e-08,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Sundial,0.08695338508506821,0.08353722033822863,nan,nan,0.016796435774787625,nan,nan,0.294878593806109,nan,nan,0.1770426087971502,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,Sundial,0.12204922045360164,0.13255924932288055,nan,nan,2.084405834815155,nan,nan,0.34935543570066524,nan,nan,0.22832242760030808,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Sundial,1.2926078961513339,1.3404142720117949,nan,nan,0.10380252354860531,nan,nan,1.1369291517730267,nan,nan,0.8127187135418581,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Sundial,0.8427959919452709,0.728805377540842,0.6027306715647379,0.43614681761468477,0.037071160344855525,0.03572165078421854,7.949536290001031,0.9180392104617705,0.05490391657437408,0.03604668965257109,0.027748537362407476,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Sundial,0.0998453487697832,0.059222242613951814,nan,nan,0.40525379318442406,nan,nan,0.3159831463381919,nan,nan,0.16637762231625383,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Sundial,2.7142445404425664e-15,3.744719947449526e-15,nan,nan,nan,nan,nan,5.2098412072179e-08,nan,nan,5.473062218444397e-08,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Sundial,5.361544315545145e-16,6.362543388780521e-16,nan,nan,nan,nan,nan,2.315500877897727e-08,nan,nan,2.1140121719009097e-08,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Sundial,0.08695338508506821,0.08353722033822863,nan,nan,0.016796435774787625,nan,nan,0.294878593806109,nan,nan,0.1770426087971502,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Sundial,0.04821187162773686,0.06255171335029873,nan,nan,0.1113706881054695,nan,nan,0.21957201922771685,nan,nan,0.1293380084059859,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Sundial,1.2926078961513339,1.3404142720117949,nan,nan,0.10380252354860531,nan,nan,1.1369291517730267,nan,nan,0.8127187135418581,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Sundial,0.8427959919452709,0.728805377540842,0.6027306715647379,0.43614681761468477,0.037071160344855525,0.03572165078421854,7.949536290001031,0.9180392104617705,0.05490391657437408,0.03604668965257109,0.027748537362407476,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Sundial,0.0998453487697832,0.059222242613951814,nan,nan,0.40525379318442406,nan,nan,0.3159831463381919,nan,nan,0.16637762231625383,Air Quality,1,24
results/sundial/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
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7
- "evaluated_at": "2026-07-27T22:52:43.592523+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
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14
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15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.255829+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
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15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/tabpfn_ts/all_results.csv CHANGED
@@ -82,7 +82,7 @@ m_dense/H/long,TabPFN-TS,75694.39604938272,75694.39604938272,120.74972222222222,
82
  m_dense/H/medium,TabPFN-TS,71212.77555555555,71212.77555555555,116.21049045138888,0.993734534883084,0.3077546622676556,0.24954473707411023,8.673153554524918,266.85721941809174,0.4642978479599947,0.20219157174991295,0.160040826351846,Transport,1
83
  m_dense/H/short,TabPFN-TS,68285.90555555555,68285.90555555555,106.8298410373264,0.906291178560046,0.30428158067341887,0.23916954464382595,10.038621879613546,261.3157200697186,0.46350902522521975,0.18948953959205128,0.15486162614965193,Transport,1
84
  nasa_power_shanghai_hourly_T2M/1h/short,TabPFN-TS,0.036615601457142995,0.036615601457142995,nan,nan,0.012169528212040303,nan,nan,0.19135203541416274,nan,nan,0.15266712888436182,Weather,1,24
85
- noaa_coops_sf_water_level_water_level/6min/short,TabPFN-TS,0.5334753333935354,0.5334753333935354,nan,nan,2.0893503873265606,nan,nan,0.7303939576649956,nan,nan,0.5347427244951048,Ocean,1,60
86
  noaa_ndbc_46013_realtime_wave_height/10min/short,TabPFN-TS,2.6839598243957212,2.6839598243957212,nan,nan,0.14775515180583965,nan,nan,1.6382795318246888,nan,nan,1.423268142389536,Ocean,1,72
87
  nws_ksfo_observations_temperature/1h/short,TabPFN-TS,0.3804797499912335,0.3804797499912335,0.41256459554036456,0.2985392048131281,0.02545106702891627,0.02473706497544044,11.941568192525125,0.6168304061824721,0.03688993321379491,0.02467368700264445,0.024673687002644454,Weather,1,24
88
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TabPFN-TS,0.012350164398494783,0.012350164398494783,nan,nan,0.17232824948220712,nan,nan,0.1111312935157995,nan,nan,0.09032065198372391,Air Quality,1,24
 
82
  m_dense/H/medium,TabPFN-TS,71212.77555555555,71212.77555555555,116.21049045138888,0.993734534883084,0.3077546622676556,0.24954473707411023,8.673153554524918,266.85721941809174,0.4642978479599947,0.20219157174991295,0.160040826351846,Transport,1
83
  m_dense/H/short,TabPFN-TS,68285.90555555555,68285.90555555555,106.8298410373264,0.906291178560046,0.30428158067341887,0.23916954464382595,10.038621879613546,261.3157200697186,0.46350902522521975,0.18948953959205128,0.15486162614965193,Transport,1
84
  nasa_power_shanghai_hourly_T2M/1h/short,TabPFN-TS,0.036615601457142995,0.036615601457142995,nan,nan,0.012169528212040303,nan,nan,0.19135203541416274,nan,nan,0.15266712888436182,Weather,1,24
85
+ noaa_coops_sf_water_level_water_level/6min/short,TabPFN-TS,0.07653330258294426,0.07653330258294426,nan,nan,0.11322722294153197,nan,nan,0.2766465300395873,nan,nan,0.23295457875921002,Ocean,1,60
86
  noaa_ndbc_46013_realtime_wave_height/10min/short,TabPFN-TS,2.6839598243957212,2.6839598243957212,nan,nan,0.14775515180583965,nan,nan,1.6382795318246888,nan,nan,1.423268142389536,Ocean,1,72
87
  nws_ksfo_observations_temperature/1h/short,TabPFN-TS,0.3804797499912335,0.3804797499912335,0.41256459554036456,0.2985392048131281,0.02545106702891627,0.02473706497544044,11.941568192525125,0.6168304061824721,0.03688993321379491,0.02467368700264445,0.024673687002644454,Weather,1,24
88
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TabPFN-TS,0.012350164398494783,0.012350164398494783,nan,nan,0.17232824948220712,nan,nan,0.1111312935157995,nan,nan,0.09032065198372391,Air Quality,1,24
results/tabpfn_ts/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.572392+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:13.277970+00:00",
14
- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.242129+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.649290+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/timesfm_2_5/all_results.csv CHANGED
@@ -1,11 +1,15 @@
1
- dataset,model,eval_metrics/MSE[mean],eval_metrics/MSE[0.5],eval_metrics/MAE[0.5],eval_metrics/MASE[0.5],eval_metrics/MAPE[0.5],eval_metrics/sMAPE[0.5],eval_metrics/MSIS,eval_metrics/RMSE[mean],eval_metrics/NRMSE[mean],eval_metrics/ND[0.5],eval_metrics/mean_weighted_sum_quantile_loss,domain,num_variates
2
- binance_btcusdt_1h_close/1h/short,TimesFM-2.5,81742.42789522807,124744.15551821391,297.3611653645833,0.4486972705324055,0.004943552533723208,0.0049579917738521604,4.904699820126863,285.90632713395496,0.0047624096472577765,0.004953215610330298,0.003661364469335062,Finance,1
3
- coingecko_bitcoin_7d_price_usd/1h/short,TimesFM-2.5,97952.0961373647,155042.49553426108,344.3505859375,0.494849513065497,0.005734942849078377,0.005753831848928334,4.4515950592935765,312.9729958596503,0.005223298429098694,0.005746968263655385,0.004048322861622117,Finance,1
4
- nasa_power_shanghai_hourly_T2M/1h/short,TimesFM-2.5,11.641811304915336,13.423471256234128,2.7575780550638833,3.5293238475457582,0.10321913729068599,0.11204715871745875,101.69350427694228,3.4120098629569253,0.14059996314044312,0.11363254752226123,0.10196536560973148,Weather,1
5
- noaa_coops_sf_water_level_water_level/6min/short,TimesFM-2.5,0.02908771671812005,0.034046774600905515,0.13568753997484842,0.17312143585760467,0.11185537202482503,0.12463965779787611,2.676967727907387,0.1705512143554541,0.1434961937098364,0.11416304242585044,0.08757558544176978,Ocean,1
6
- noaa_ndbc_46013_realtime_wave_height/10min/short,TimesFM-2.5,0.05836318292564613,0.04761165148106272,0.16445205609003702,0.3447029766963658,0.07191232151835235,0.06762886788054125,17.47579260325252,0.24158473239351475,0.09877400134375952,0.06723764141999806,0.08169348159617512,Ocean,1
7
- nws_ksfo_observations_temperature/1h/short,TimesFM-2.5,5.091922888105425,6.327109473932221,2.2220658461252847,1.3592926513955181,0.10384344306035338,0.11108617811955894,27.998005969855527,2.2565289468795706,0.10885767783941647,0.10719513629549113,0.08603730202253673,Weather,1
8
- open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TimesFM-2.5,49.47017191748849,82.91626740256955,7.3194271723429365,0.5005687624158839,0.2545421621602366,0.295325743742574,5.8418762834746945,7.033503530779557,0.27381035642937446,0.28494120378950605,0.21288132768520807,Air Quality,1
9
- open_meteo_shanghai_hourly_temperature_2m/1h/short,TimesFM-2.5,1.6484289968751302,1.7882974488526695,1.16057284673055,0.9274277392234174,0.04635277574155072,0.04703534337119358,20.58434769273915,1.2839116001014752,0.04978813570351389,0.045005246764860715,0.03796367653364946,Weather,1
10
- usgs_earthquake_all_week_hourly_earthquake_count/1h/short,TimesFM-2.5,12.541379031458973,13.808125303080638,3.0202603340148926,0.7396555920036473,0.33108155235761566,0.30808027947552724,19.43875757528811,3.5413809497791924,0.34691078691714533,0.29586223680145884,0.27081315021125635,Hazards,1
11
- usgs_potomac_iv_usgs_00060/15min/short,TimesFM-2.5,430.1970050111413,571.0872243667642,16.349232991536457,0.15238120069781555,0.006005184220679013,0.0060436006179905065,2.234056811286407,20.741191022001153,0.007664181440000427,0.006041287017657814,0.004361342408824095,Hydrology,1
 
 
 
 
 
1
+ dataset,model,eval_metrics/MSE[mean],eval_metrics/MSE[0.5],eval_metrics/MAE[0.5],eval_metrics/MASE[0.5],eval_metrics/MAPE[0.5],eval_metrics/sMAPE[0.5],eval_metrics/MSIS,eval_metrics/RMSE[mean],eval_metrics/NRMSE[mean],eval_metrics/ND[0.5],eval_metrics/mean_weighted_sum_quantile_loss,domain,num_variates,prediction_length
2
+ binance_btcusdt_1h_close/1h/short,TimesFM-2.5,0.18471364393609205,0.2511561167570871,nan,nan,0.003988779263392523,nan,nan,0.42978325227501835,nan,nan,0.26875152458008783,Finance,1,24
3
+ coingecko_bitcoin_7d_price_usd/1h/short,TimesFM-2.5,0.16431138716961843,0.2840452984238427,nan,nan,0.006365738815062364,nan,nan,0.40535341021091514,nan,nan,0.28603521259581766,Finance,1,24
4
+ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,TimesFM-2.5,28434.715767887308,30940.314541637516,136.81071631113687,1.4424608331286375,0.6894371389934627,1.1431172573156296,43.032391046456816,168.6259640977252,1.0381242287022936,0.8422577158188848,0.7508176845882389,Finance,1,12
5
+ data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,TimesFM-2.5,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Climate,1,36
6
+ data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,TimesFM-2.5,0.0,0.0,nan,nan,nan,nan,nan,0.0,nan,nan,0.0,Transportation,1,12
7
+ nasa_power_shanghai_hourly_T2M/1h/short,TimesFM-2.5,0.07349968636756156,0.12715800629866036,nan,nan,0.017422859563450927,nan,nan,0.2711082558085636,nan,nan,0.19379553509865552,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,TimesFM-2.5,0.14262902462292637,0.10499166979015469,nan,nan,0.14590502381629022,nan,nan,0.3776625803848276,nan,nan,0.31992783287089027,Ocean,1,60
9
+ noaa_ndbc_46013_realtime_wave_height/10min/short,TimesFM-2.5,1.2071519093124696,1.3019518027243746,nan,nan,0.10344735727774368,nan,nan,1.0987046506283977,nan,nan,0.8717528265991279,Ocean,1,72
10
+ nws_ksfo_observations_temperature/1h/short,TimesFM-2.5,0.21622905324208355,0.1617179170793861,0.26413559913635254,0.1911332978675114,0.01630353750267156,0.01601217538840988,10.994616695384883,0.4650043583043965,0.027809880236186378,0.015796796840529412,0.021259949519123158,Weather,1,24
11
+ open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TimesFM-2.5,0.03785281024197016,0.017934866424511135,nan,nan,0.21483569476265685,nan,nan,0.19455798683675302,nan,nan,0.19205918049403484,Air Quality,1,24
12
+ open_meteo_shanghai_hourly_temperature_2m/1h/short,TimesFM-2.5,0.06591225974664346,0.03575909793348882,nan,nan,0.01791180333102477,nan,nan,0.2567338305456518,nan,nan,0.19379445942016174,Weather,1,24
13
+ usgs_earthquake_all_week_hourly_earthquake_count/1h/short,TimesFM-2.5,0.6086373270893934,0.641798892026256,nan,nan,0.34810479649554643,nan,nan,0.7801521179163673,nan,nan,0.5751539108404323,Hazards,1,24
14
+ usgs_potomac_iv_usgs_00060/15min/short,TimesFM-2.5,5.54219699972541,6.215406233869209,nan,nan,0.08228977408365698,nan,nan,2.3541871207967753,nan,nan,2.1827408275623315,Hydrology,1,24
15
+ wikimedia_time_series_hourly_pageviews/1D/short,TimesFM-2.5,0.38719216672060525,0.341005570724447,nan,nan,0.12667853599052806,nan,nan,0.6222476731339421,nan,nan,0.5343002043100503,Web,1,7
results/timesfm_2_5/config.json CHANGED
@@ -3,9 +3,12 @@
3
  "model_type": "zero-shot",
4
  "model_dtype": "float32",
5
  "model_link": "https://tsfm.ai/models/google/timesfm-2.5-200m-pytorch",
6
- "code_link": "https://github.com/zhouziyu02/TSFM_Bench/blob/main/scripts/run_online_eval.py",
7
  "org": "Google / TSFM.ai",
8
  "testdata_leakage": "No",
9
  "replication_code_available": "Yes",
10
- "api_model_id": "google/timesfm-2.5-200m-pytorch"
 
 
 
11
  }
 
3
  "model_type": "zero-shot",
4
  "model_dtype": "float32",
5
  "model_link": "https://tsfm.ai/models/google/timesfm-2.5-200m-pytorch",
6
+ "code_link": "https://github.com/zhouziyu02/TS-Live/blob/main/scripts/run_online_eval.py",
7
  "org": "Google / TSFM.ai",
8
  "testdata_leakage": "No",
9
  "replication_code_available": "Yes",
10
+ "api_model_id": "google/timesfm-2.5-200m-pytorch",
11
+ "admitted_at": "2026-06-01T00:00:00Z",
12
+ "evaluation_protocol": "issue-now-score-later",
13
+ "metric_version": "livehouse-canonical-v1"
14
  }
results/timesfm_2_5/online_meta.json CHANGED
@@ -1,67 +1,19 @@
1
  {
2
  "model": "TimesFM-2.5",
3
  "api_model_id": "google/timesfm-2.5-200m-pytorch",
4
- "evaluated_at": "2026-06-30T02:19:42.264357+00:00",
5
- "datasets": [
6
- {
7
- "dataset": "task_binance_btcusdt_1h_crypto_btcusdt_close_20260629t020000z",
8
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
9
- "context_length": 96,
10
- "prediction_length": 24
11
- },
12
- {
13
- "dataset": "task_coingecko_bitcoin_7d_coin_bitcoin_price_usd_20260629t010219z",
14
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
15
- "context_length": 96,
16
- "prediction_length": 24
17
- },
18
- {
19
- "dataset": "task_nasa_power_shanghai_hourly_point_shanghai_31.2304_121.4737_t2m_20260625t230000z",
20
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
21
- "context_length": 69,
22
- "prediction_length": 24
23
- },
24
- {
25
- "dataset": "task_noaa_coops_sf_water_level_coops_station_9414290_water_level_20260629t234200z",
26
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
27
- "context_length": 96,
28
- "prediction_length": 24
29
- },
30
- {
31
- "dataset": "task_noaa_ndbc_46013_realtime_ndbc_station_46013_wave_height_20260629t171000z",
32
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
33
- "context_length": 96,
34
- "prediction_length": 24
35
- },
36
- {
37
- "dataset": "task_nws_ksfo_observations_nws_station_ksfo_temperature_20260630t001000z",
38
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
39
- "context_length": 96,
40
- "prediction_length": 24
41
- },
42
- {
43
- "dataset": "task_open_meteo_shanghai_air_quality_hourly_grid_shanghai_31.2304_121.4737_pm2_5_20260629t020000z",
44
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
45
- "context_length": 96,
46
- "prediction_length": 24
47
- },
48
- {
49
- "dataset": "task_open_meteo_shanghai_hourly_grid_shanghai_31.2304_121.4737_temperature_2m_20260629t020000z",
50
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
51
- "context_length": 96,
52
- "prediction_length": 24
53
- },
54
- {
55
- "dataset": "task_usgs_earthquake_all_week_hourly_earth_global_earthquake_count_20260629t010000z",
56
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
57
- "context_length": 96,
58
- "prediction_length": 24
59
- },
60
- {
61
- "dataset": "task_usgs_potomac_iv_usgs_site_01646500_usgs_00060_20260629t235000z",
62
- "data_fetched_at": "2026-06-30T02:16:24.198018Z",
63
- "context_length": 96,
64
- "prediction_length": 24
65
  }
66
  ]
67
  }
 
1
  {
2
  "model": "TimesFM-2.5",
3
  "api_model_id": "google/timesfm-2.5-200m-pytorch",
4
+ "admitted_at": "2026-06-01T00:00:00Z",
5
+ "evaluation_protocol": "issue-now-score-later",
6
+ "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.222523+00:00",
8
+ "resolved_tasks": [
9
+ {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.678011+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
+ "metric_version": "livehouse-canonical-v1"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
17
  }
18
  ]
19
  }
results/tirex/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,T
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,TiRex,5.906315718058047e-17,5.906315718058047e-17,nan,nan,nan,nan,nan,7.685255830522526e-09,nan,nan,4.1680416340218845e-09,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,TiRex,2.0440368407041843e-18,2.0440368407041843e-18,nan,nan,nan,nan,nan,1.4296981641955705e-09,nan,nan,1.39774869271451e-09,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,TiRex,0.06009403988074712,0.06009403988074712,nan,nan,0.013170625412462368,nan,nan,0.24514085722446824,nan,nan,0.18971512656111955,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,TiRex,0.07601411702164874,0.07601411702164874,nan,nan,0.5044793690138212,nan,nan,0.2757065777627526,nan,nan,0.25009111098649517,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,TiRex,1.3991163457639386,1.3991163457639386,nan,nan,0.1109776006929878,nan,nan,1.1828424856099558,nan,nan,0.8897268229121463,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,TiRex,0.1330410943866506,0.1330410943866506,0.2665089766184489,0.19285071674902834,0.016340940517305648,0.0161404612437938,1.417522257895925,0.3647479875018512,0.021813984466305555,0.01593873818441926,0.018680112149927236,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TiRex,0.054159833785722145,0.054159833785722145,nan,nan,0.3703851807315448,nan,nan,0.23272265421682123,nan,nan,0.16469205232297768,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,TiRex,5.906315718058047e-17,5.906315718058047e-17,nan,nan,nan,nan,nan,7.685255830522526e-09,nan,nan,4.1680416340218845e-09,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,TiRex,2.0440368407041843e-18,2.0440368407041843e-18,nan,nan,nan,nan,nan,1.4296981641955705e-09,nan,nan,1.39774869271451e-09,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,TiRex,0.06009403988074712,0.06009403988074712,nan,nan,0.013170625412462368,nan,nan,0.24514085722446824,nan,nan,0.18971512656111955,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,TiRex,0.07055337570154269,0.07055337570154269,nan,nan,0.11237064199633989,nan,nan,0.2656188541906291,nan,nan,0.17695674810985468,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,TiRex,1.3991163457639386,1.3991163457639386,nan,nan,0.1109776006929878,nan,nan,1.1828424856099558,nan,nan,0.8897268229121463,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,TiRex,0.1330410943866506,0.1330410943866506,0.2665089766184489,0.19285071674902834,0.016340940517305648,0.0161404612437938,1.417522257895925,0.3647479875018512,0.021813984466305555,0.01593873818441926,0.018680112149927236,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,TiRex,0.054159833785722145,0.054159833785722145,nan,nan,0.3703851807315448,nan,nan,0.23272265421682123,nan,nan,0.16469205232297768,Air Quality,1,24
results/tirex/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.520705+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:13.353516+00:00",
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- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.213575+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.717014+00:00",
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+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
results/toto_1_0/all_results.csv CHANGED
@@ -5,7 +5,7 @@ data_gov_sg_sgx_equities_turnover_monthly_turnover_value_million_sgd/1mo/short,T
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Toto-1.0,0.07868204847499072,4.263255093174583e-09,nan,nan,nan,nan,nan,0.28050320581945354,nan,nan,0.0002777611896851374,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Toto-1.0,5.034115367317824e-05,6.176142365705364e-09,nan,nan,nan,nan,nan,0.007095150010618397,nan,nan,0.00027794355525185416,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Toto-1.0,0.3781601546771693,0.064105101809067,nan,nan,0.014643988879747117,nan,nan,0.614947277965493,nan,nan,0.19193844973139762,Weather,1,24
8
- noaa_coops_sf_water_level_water_level/6min/short,Toto-1.0,0.46856666476414105,0.4752997801098599,nan,nan,2.171847712807223,nan,nan,0.6845192946616926,nan,nan,0.4487266230412008,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Toto-1.0,27.683402577657873,1.6771575919101602,nan,nan,0.11580182513025877,nan,nan,5.26150193173564,nan,nan,0.9010035824904497,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Toto-1.0,3.2061994614582545,0.2026127577197864,0.29392051696777344,0.2126862032329617,0.01814908932063847,0.017779550705114375,1.3101507982416967,1.7905863457142341,0.10708715077088915,0.017578102720665366,0.014884503464531462,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Toto-1.0,0.3828962962540734,0.01469619627481291,nan,nan,0.17991828117972739,nan,nan,0.618786147432272,nan,nan,0.10713310781079002,Air Quality,1,24
 
5
  data_gov_sg_singapore_rainfall_5min_rainfall_5min_total/5min/short,Toto-1.0,0.07868204847499072,4.263255093174583e-09,nan,nan,nan,nan,nan,0.28050320581945354,nan,nan,0.0002777611896851374,Climate,1,36
6
  data_gov_sg_singapore_taxi_availability_available_taxi_count/5min/short,Toto-1.0,5.034115367317824e-05,6.176142365705364e-09,nan,nan,nan,nan,nan,0.007095150010618397,nan,nan,0.00027794355525185416,Transportation,1,12
7
  nasa_power_shanghai_hourly_T2M/1h/short,Toto-1.0,0.3781601546771693,0.064105101809067,nan,nan,0.014643988879747117,nan,nan,0.614947277965493,nan,nan,0.19193844973139762,Weather,1,24
8
+ noaa_coops_sf_water_level_water_level/6min/short,Toto-1.0,0.5938577859053631,0.20279020502719616,nan,nan,0.2032631822843151,nan,nan,0.7706216879282357,nan,nan,0.3000537773009777,Ocean,1,60
9
  noaa_ndbc_46013_realtime_wave_height/10min/short,Toto-1.0,27.683402577657873,1.6771575919101602,nan,nan,0.11580182513025877,nan,nan,5.26150193173564,nan,nan,0.9010035824904497,Ocean,1,72
10
  nws_ksfo_observations_temperature/1h/short,Toto-1.0,3.2061994614582545,0.2026127577197864,0.29392051696777344,0.2126862032329617,0.01814908932063847,0.017779550705114375,1.3101507982416967,1.7905863457142341,0.10708715077088915,0.017578102720665366,0.014884503464531462,Weather,1,24
11
  open_meteo_shanghai_air_quality_hourly_pm2_5/1h/short,Toto-1.0,0.3828962962540734,0.01469619627481291,nan,nan,0.17991828117972739,nan,nan,0.618786147432272,nan,nan,0.10713310781079002,Air Quality,1,24
results/toto_1_0/online_meta.json CHANGED
@@ -4,15 +4,15 @@
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
- "evaluated_at": "2026-07-27T22:52:43.537847+00:00",
8
  "resolved_tasks": [
9
  {
10
- "dataset": "usgs_potomac_iv_usgs_00060/15min/short",
11
- "task_id": "future-236537fa97e376a986fb",
12
- "issued_at": "2026-07-27T16:08:53.517199+00:00",
13
- "resolved_at": "2026-07-27T22:50:13.390983+00:00",
14
- "target_end": "2026-07-27T21:55:00+00:00",
15
- "prediction_length": 24,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]
 
4
  "admitted_at": "2026-06-01T00:00:00Z",
5
  "evaluation_protocol": "issue-now-score-later",
6
  "metric_version": "livehouse-canonical-v1",
7
+ "evaluated_at": "2026-07-28T01:18:41.224440+00:00",
8
  "resolved_tasks": [
9
  {
10
+ "dataset": "noaa_coops_sf_water_level_water_level/6min/short",
11
+ "task_id": "future-3eca09229aa7baa49732",
12
+ "issued_at": "2026-07-27T19:23:56.820632+00:00",
13
+ "resolved_at": "2026-07-28T01:14:58.752891+00:00",
14
+ "target_end": "2026-07-28T01:00:00+00:00",
15
+ "prediction_length": 60,
16
  "metric_version": "livehouse-canonical-v1"
17
  }
18
  ]