| { |
| "model_name": "GradientBoosting_ActiveLearning", |
| "approach": "GradientBoosting + Active Learning Simulation", |
| "base_models": "LogReg + 3x GradientBoosting", |
| "n_labels": 22, |
| "labels": [ |
| "Administra\u00e7\u00e3o Geral, Finan\u00e7as e Recursos Humanos", |
| "Ambiente", |
| "Atividades Econ\u00f3micas", |
| "A\u00e7\u00e3o Social", |
| "Ci\u00eancia", |
| "Comunica\u00e7\u00e3o e Rela\u00e7\u00f5es P\u00fablicas", |
| "Coopera\u00e7\u00e3o Externa e Rela\u00e7\u00f5es Internacionais", |
| "Cultura", |
| "Desporto", |
| "Educa\u00e7\u00e3o e Forma\u00e7\u00e3o Profissional", |
| "Energia e Telecomunica\u00e7\u00f5es", |
| "Habita\u00e7\u00e3o", |
| "Obras Particulares", |
| "Obras P\u00fablicas", |
| "Ordenamento do Territ\u00f3rio", |
| "Outros", |
| "Patrim\u00f3nio", |
| "Pol\u00edcia Municipal", |
| "Prote\u00e7\u00e3o Animal", |
| "Prote\u00e7\u00e3o Civil", |
| "Sa\u00fade", |
| "Tr\u00e2nsito, Transportes e Comunica\u00e7\u00f5es" |
| ], |
| "feature_dimensions": 10768, |
| "tfidf_features": 10000, |
| "bert_features": 768, |
| "active_samples": 100, |
| "n_gb_models": 3, |
| "innovations": [ |
| "Multiple GradientBoosting with different hyperparameters", |
| "Active learning uncertainty sampling simulation", |
| "Adaptive ensemble weighting by label frequency", |
| "Dynamic threshold optimization per label", |
| "Dense feature matrix optimization" |
| ], |
| "performance": { |
| "accuracy": 0.45179584120982985, |
| "f1_macro": 0.5485386636825255, |
| "f1_micro": 0.7362637362637363, |
| "hamming_loss": 0.04124420003437017, |
| "average_precision_macro": 0.6063436422306382 |
| } |
| } |
