ensemble / audio_config.json
deepsafe's picture
Add ensemble meta-learners, scalers and calibrators
fb92c8e verified
Raw History Blame Contribute Delete
885 Bytes
{
"model_order": [
"shiftyspeech",
"safeear",
"nes2net"
],
"algorithm": "RandomForestClassifier",
"hyperparams": {
"max_depth": 8,
"n_estimators": 500,
"random_state": 42
},
"cv_auc": 0.8748,
"cv_f1_at_05": 0.8749,
"optimal_threshold": 0.47,
"optimal_f1": 0.8787,
"ece_before_calibration": 0.0132,
"ece_after_calibration": 0.0338,
"calibrated_auc": 0.8748,
"calibrated_optimal_threshold": 0.39,
"calibrated_optimal_f1": 0.8789,
"calibrator_saved": true,
"n_samples": 3500,
"n_real": 1000,
"n_fake": 2500,
"measured_model_aucs": {
"shiftyspeech": 0.7347,
"safeear": 0.6035,
"nes2net": 0.8407
},
"training_date": "2026-04-12",
"training_data": "monolith_eval_medium_15499_patched",
"note": "3-model RandomForestClassifier trained on 15,499-sample medium eval. Replaces small-eval (50 sample) artifacts."
}