doanh eval task 18
Browse files
doanh_eval175/task_18/timing.json
CHANGED
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@@ -14,7 +14,37 @@
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"knn_peak": 0.8764705882352941,
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"knn_robust": 0.5098039215686274,
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"fused_peak": 0.9447275379256816,
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"fused_robust": 0.5332872242752509
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},
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"online": {
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"cycle_peak": 0.6585419710816376,
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@@ -22,20 +52,45 @@
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"fused_peak": 0.8346400731666187,
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"ratio_cycle": 0.6827070402235358,
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"ratio_knn": 1.0223713646532437,
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-
"ratio_fused": 0.8834717309069029
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},
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"timings_seconds": {
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"00_model_load": 8.
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"offline_01_load_refs": 0.
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"offline_02_cycle_null_build":
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"offline_03_dinov2_pool_build": 0.
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"offline_04_knn_loo_null":
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"offline_05_h_train_baseline":
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"
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"
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}
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}
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"knn_peak": 0.8764705882352941,
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"knn_robust": 0.5098039215686274,
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"fused_peak": 0.9447275379256816,
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"fused_robust": 0.5332872242752509,
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"h_pairs": [
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0.9486576428108756,
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0.9899373094594115,
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0.9885236429081644,
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0.09279997551059238,
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0.7313235535347574,
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0.7146721743518801,
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0.7085642376131102,
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0.0859727034725235,
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0.1807902960635801
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],
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"h_frames": [
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0.6764705882352942,
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0.5588235294117647,
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0.9803921568627451,
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0.892156862745098,
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0.5196078431372548,
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0.303921568627451,
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0.0490196078431373,
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0.0490196078431373,
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0.20588235294117652,
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0.8725490196078431
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]
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},
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"baseline_normalizer": {
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"sigma": 0.08700369450325565,
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"alpha": 11.493764784466483,
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"n_boot": 200,
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"pct": 80,
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"seed": 42
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},
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"online": {
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"cycle_peak": 0.6585419710816376,
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"fused_peak": 0.8346400731666187,
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"ratio_cycle": 0.6827070402235358,
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"ratio_knn": 1.0223713646532437,
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"ratio_fused": 0.8834717309069029,
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"score_norm": 0.20761721533012212,
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"h_pairs": [
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0.016665575861527948,
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0.21755452271455655,
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0.6603263818111001,
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0.6963841219618316,
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0.4470736019407898,
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0.349149725965083,
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0.2579128087584869,
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],
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"h_frames": [
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0.6764705882352942,
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0.5588235294117647,
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0.9117647058823529,
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0.8137254901960784,
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0.892156862745098,
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0.4607843137254902,
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0.7352941176470589,
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0.8137254901960784
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]
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},
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"timings_seconds": {
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"00_model_load": 8.450164513662457,
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"offline_01_load_refs": 0.0004344116896390915,
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"offline_02_cycle_null_build": 17.598716976121068,
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"offline_03_dinov2_pool_build": 0.001733437180519104,
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"offline_04_knn_loo_null": 13.904923079535365,
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"offline_05_h_train_baseline": 22.748817540705204,
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"offline_06_baseline_normalizer_fit": 0.029173828661441803,
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"online_01_sample_frames": 0.8902467787265778,
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"online_02_sam3_segment": 8.330683195963502,
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"online_03_cycle_9_pairs": 0.9541127178817987,
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"online_04_knn_10_frames": 6.186859300360084,
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"online_05_fusion_ratio": 6.182678043842316e-05,
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"online_total": 16.362328696995974
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}
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}
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doanh_eval175/task_18/timing_summary.md
CHANGED
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@@ -11,18 +11,19 @@ Refs: **50** | Cycle null pairs: **182** | kNN k=15, route=**ivar**
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| Phase | Step | Time |
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| SETUP | 00_model_load | **8.
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| OFFLINE | offline_01_load_refs | **0 ms** |
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| OFFLINE | offline_02_cycle_null_build | **
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| OFFLINE | offline_03_dinov2_pool_build | **2 ms** |
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| OFFLINE | offline_04_knn_loo_null | **
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| OFFLINE | offline_05_h_train_baseline | **
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| ONLINE | online_05_fusion_ratio | **0 ms** |
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| ONLINE | online_total | **16.
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## Scores
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| cycle | 0.9646 | 0.6585 | **0.683** | ✓ clean |
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| knn | 0.8765 | 0.8961 | **1.022** | 🔴 HALLU |
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| fused | 0.9447 | 0.8346 | **0.883** | ✓ clean |
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| Phase | Step | Time |
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| SETUP | 00_model_load | **8.45 s** |
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| OFFLINE | offline_01_load_refs | **0 ms** |
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| OFFLINE | offline_02_cycle_null_build | **17.60 s** |
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| OFFLINE | offline_03_dinov2_pool_build | **2 ms** |
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| OFFLINE | offline_04_knn_loo_null | **13.90 s** |
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| OFFLINE | offline_05_h_train_baseline | **22.75 s** |
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| OFFLINE | offline_06_baseline_normalizer_fit | **29 ms** |
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| ONLINE | online_01_sample_frames | **890 ms** |
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| ONLINE | online_02_sam3_segment | **8.33 s** |
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| ONLINE | online_03_cycle_9_pairs | **954 ms** |
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| ONLINE | online_04_knn_10_frames | **6.19 s** |
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| ONLINE | online_05_fusion_ratio | **0 ms** |
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| ONLINE | online_total | **16.36 s** |
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## Scores
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| cycle | 0.9646 | 0.6585 | **0.683** | ✓ clean |
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| knn | 0.8765 | 0.8961 | **1.022** | 🔴 HALLU |
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| fused | 0.9447 | 0.8346 | **0.883** | ✓ clean |
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## Normalized fused score (sigmoid, bootstrap baseline σ=0.0870, α=11.49)
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- `score_norm = sigmoid(α · (ratio_fused − 1)) = ` **0.208**
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- 0.5 = at baseline (ratio = 1.0)
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- >0.5 = more anomalous than baseline; <0.5 = cleaner
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