Delete gradient_boosting_model_info.json

gradient_boosting_model_info.json

@@ -1,49 +0,0 @@
-{
-    "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
-    }
-}