trinetra-data / labels /baselines.json
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{
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"value": 0.0067
},
{
"cost_loss_ratio": 0.35,
"value": -0.0036
},
{
"cost_loss_ratio": 0.4,
"value": -0.0052
},
{
"cost_loss_ratio": 0.45,
"value": -0.0071
},
{
"cost_loss_ratio": 0.5,
"value": -0.0093
},
{
"cost_loss_ratio": 0.55,
"value": -0.0121
},
{
"cost_loss_ratio": 0.6,
"value": -0.0156
},
{
"cost_loss_ratio": 0.65,
"value": -0.02
},
{
"cost_loss_ratio": 0.7,
"value": -0.026
},
{
"cost_loss_ratio": 0.75,
"value": -0.0343
},
{
"cost_loss_ratio": 0.8,
"value": -0.0467
},
{
"cost_loss_ratio": 0.85,
"value": -0.0675
},
{
"cost_loss_ratio": 0.9,
"value": -0.109
},
{
"cost_loss_ratio": 0.95,
"value": -0.2336
}
]
}
],
"ri_24h_note": "Class weighting is what makes the model find events at a 3.5 percent base rate, and it is also what destroys the calibration. AUC measures the ranking and rises; the Brier Skill Score measures the probabilities and collapses. A monotone isotonic map fitted on held-out storms repairs the second without changing the first, which is why both are reported for all three rows.",
"climatology_auc_note": "The climatology row has an AUC below 0.5, which looks like a broken metric and is not. Under leave-one-season-out the climatology forecast for a season is the base rate of every other season, so removing a high-RI season from the mean lowers the forecast for exactly the season that had the most events. Measured correlation between a season's actual RI rate and its own leave-one-season-out climatology prediction is -0.94. A genuinely constant forecast scores exactly 0.5, which the test suite asserts. Climatology is the Brier Skill Score reference and its AUC carries no information."
},
"analysis": {
"imd_ci_regression": {
"baseline": "IMD Dvorak CI number, quadratic regression",
"rmse_ci": {
"point": 7.2765,
"ci_lo": 6.2429,
"ci_hi": 8.429,
"level": 0.95
},
"caveat": "CI and the best-track intensity label come from the same Dvorak analysis, so this measures the wind-pressure table rather than an independent method. The specified baseline is the CIMSS ADT archive, which was not pulled in this build.",
"n": 6407,
"rmse": 7.276454451426501,
"mae": 4.168637176485335,
"bias": 0.015770672594746737,
"by_intensity": [
{
"bin": "17-33 kt (D, DD)",
"n": 3487,
"rmse": 3.665405404647403,
"mae": 3.0687293740543864,
"bias": 2.8144772242390514
},
{
"bin": "34-47 kt (CS)",
"n": 1426,
"rmse": 4.371610822185383,
"mae": 3.029980308696313,
"bias": -1.7602708398243156
},
{
"bin": "48-63 kt (SCS)",
"n": 551,
"rmse": 10.928723469578236,
"mae": 7.391933972713178,
"bias": -7.19084160816632
},
{
"bin": "64-89 kt (VSCS)",
"n": 544,
"rmse": 15.034763263825726,
"mae": 8.129034498979406,
"bias": -7.972896743808897
},
{
"bin": "90+ kt (ESCS, SuCS)",
"n": 355,
"rmse": 13.931885925720598,
"mae": 7.38523266386036,
"bias": 1.482752762201002
}
]
}
},
"independent_truth_subset": {
"status": "absent",
"reason": "NOAA SAR TC Wind was not pulled in this build. No non-Dvorak intensity truth exists here, so no second RMSE is reported.",
"n_cases": 0
}
}