Upload 7 files
Browse files- gradient_boosting_adaptive_weights.npy +3 -0
- gradient_boosting_gb_models.joblib +3 -0
- gradient_boosting_logistic_model.joblib +3 -0
- gradient_boosting_mlb_encoder.joblib +3 -0
- gradient_boosting_model_info.json +49 -0
- gradient_boosting_optimal_thresholds.npy +3 -0
- gradient_boosting_tfidf_vectorizer.joblib +3 -0
gradient_boosting_adaptive_weights.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1bd26704959b0fba1ac2dfd49be4a9b5cb81474204b90da2749c489c7a42d33
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size 832
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gradient_boosting_gb_models.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:e18c5ce65f5ae08bdf910c5306f3502e7e9bea47879a5ca1b344aa9cb9c0bb43
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size 29125596
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gradient_boosting_logistic_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8ca35ecf58dbf92d27ae4f23ae42dedcf468299eb4f7e012e89b73b9c3c4660
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size 1907759
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gradient_boosting_mlb_encoder.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7d0d548c66a4c312236484d1ac972be8b5617b4d7f6bd0e6c48484e20a7732c
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size 1598
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gradient_boosting_model_info.json
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{
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"model_name": "GradientBoosting_ActiveLearning",
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"approach": "GradientBoosting + Active Learning Simulation",
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"base_models": "LogReg + 3x GradientBoosting",
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"n_labels": 22,
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"labels": [
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"Administra\u00e7\u00e3o Geral, Finan\u00e7as e Recursos Humanos",
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"Ambiente",
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"Atividades Econ\u00f3micas",
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"A\u00e7\u00e3o Social",
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"Ci\u00eancia",
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"Comunica\u00e7\u00e3o e Rela\u00e7\u00f5es P\u00fablicas",
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"Coopera\u00e7\u00e3o Externa e Rela\u00e7\u00f5es Internacionais",
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"Cultura",
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"Desporto",
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"Educa\u00e7\u00e3o e Forma\u00e7\u00e3o Profissional",
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"Energia e Telecomunica\u00e7\u00f5es",
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"Habita\u00e7\u00e3o",
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"Obras Particulares",
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"Obras P\u00fablicas",
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"Ordenamento do Territ\u00f3rio",
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"Outros",
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"Patrim\u00f3nio",
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"Pol\u00edcia Municipal",
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"Prote\u00e7\u00e3o Animal",
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"Prote\u00e7\u00e3o Civil",
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"Sa\u00fade",
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"Tr\u00e2nsito, Transportes e Comunica\u00e7\u00f5es"
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],
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"feature_dimensions": 10768,
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"tfidf_features": 10000,
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"bert_features": 768,
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"active_samples": 100,
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"n_gb_models": 3,
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"innovations": [
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"Multiple GradientBoosting with different hyperparameters",
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"Active learning uncertainty sampling simulation",
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"Adaptive ensemble weighting by label frequency",
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"Dynamic threshold optimization per label",
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"Dense feature matrix optimization"
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],
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"performance": {
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"accuracy": 0.45179584120982985,
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"f1_macro": 0.5485386636825255,
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"f1_micro": 0.7362637362637363,
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"hamming_loss": 0.04124420003437017,
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"average_precision_macro": 0.6063436422306382
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}
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}
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gradient_boosting_optimal_thresholds.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dba9031c5482baaeae34cb529a1b6edcfc16e580d5b87c0c47248bde374f452
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size 304
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gradient_boosting_tfidf_vectorizer.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee8de3fc9f1b4bd791f93074a2035700549b3b0003e49ee975305b600b9de34f
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size 425836
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