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Browse files- artifacts_gleba_cadastro/feature_list_gleba_vunit.json +15 -0
- artifacts_gleba_cadastro/final_model_gleba_vunit.json +0 -0
- artifacts_gleba_cadastro/gleba_grid_surface.parquet +2 -2
- artifacts_gleba_cadastro/gleba_iaao_report.md +132 -0
- artifacts_gleba_cadastro/gleba_metadata.json +0 -0
- artifacts_gleba_cadastro/gleba_model_registry.csv +21 -0
- artifacts_gleba_cadastro/gleba_production_decision.json +20 -0
- artifacts_gleba_cadastro/gleba_regressivity_holdout_vunit.csv +11 -0
- artifacts_gleba_cadastro/gleba_regressivity_oof_vunit.csv +11 -0
- artifacts_gleba_cadastro/gleba_search_results.csv +6 -64
- artifacts_gleba_cadastro/gleba_segment_metrics.csv +34 -0
- artifacts_gleba_cadastro/gleba_segment_predictions_holdout.csv +0 -0
- artifacts_gleba_cadastro/gleba_segment_predictions_oof.csv +0 -0
- artifacts_gleba_cadastro/gleba_segment_surface.parquet +2 -2
- artifacts_gleba_cadastro/gleba_surface_global.parquet +1 -1
- artifacts_gleba_cadastro/gleba_tempo_index.parquet +1 -1
- artifacts_gleba_cadastro/gleba_tier_map.json +2 -2
- artifacts_gleba_cadastro/gleba_xgb_model.json +0 -0
- artifacts_gleba_cadastro/gleba_zone_approach_predictions_holdout.csv +0 -0
- artifacts_gleba_cadastro/gleba_zone_approach_segment_metrics.csv +10 -0
- artifacts_gleba_cadastro/gleba_zone_audit.csv +5 -0
- artifacts_gleba_cadastro/gleba_zone_audit_report.md +21 -0
- artifacts_gleba_cadastro/gleba_zone_column_candidates.csv +4 -0
- artifacts_gleba_cadastro/metadata_gleba_vunit.json +0 -0
- artifacts_gleba_cadastro/predictions_holdout_gleba_vunit.csv +0 -0
- artifacts_gleba_cadastro/predictions_oof_gleba_vunit.csv +0 -0
artifacts_gleba_cadastro/feature_list_gleba_vunit.json
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{
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"features": [
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"FONTE",
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"Ano_Dado",
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"faixa_rh",
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"faixa_area_modelo",
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"RH",
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"IAPOND",
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"APP",
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"Area_Total_Construivel",
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"log_area_modelo",
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"log_testada_modelo"
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],
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"removed_for_leakage": []
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}
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artifacts_gleba_cadastro/final_model_gleba_vunit.json
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artifacts_gleba_cadastro/gleba_grid_surface.parquet
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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artifacts_gleba_cadastro/gleba_iaao_report.md
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# Relatorio Tecnico IAAO - GLEBAS
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## 1. Resumo executivo
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A abordagem promovida foi **GLEBA VUNIT global single model / XGBoost espacial**.
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Arquitetura: **global unica**.
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O modelo principal preve VUNIT; VTOTAL e recomposicao derivada por area.
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## 2. Segmentacao de mercado fundiario
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As estrategias A/B/C permanecem como baseline por AREA. As novas estrategias SEG_RH, SEG_RH_IAPOND, SEG_TREE e SEG_HIBRIDA priorizam regime economico, potencial construtivo e robustez amostral.
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| strategy | market_segment_area | source_segments | n_obs | pct_obs | area_min | area_max | min_required_obs |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| A | S1 | S1+S2 | 397 | 57.8717 | 3000.0000 | 10000.0000 | 83 |
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| 13 |
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| A | S2 | S3 | 174 | 25.3644 | 10100.0000 | 30000.0000 | 83 |
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| A | S3 | S4 | 115 | 16.7638 | 30204.6700 | 1355512.0000 | 83 |
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| 15 |
+
| B | S1 | S1 | 224 | 32.6531 | 3000.0000 | 5000.0000 | 83 |
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| 16 |
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| B | S2 | S2 | 250 | 36.4431 | 5010.0000 | 15000.0000 | 83 |
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| 17 |
+
| B | S3 | S3 | 117 | 17.0554 | 15092.0000 | 39720.0000 | 83 |
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| 18 |
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| B | S4 | S4 | 95 | 13.8484 | 40139.8800 | 1355512.0000 | 83 |
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| 19 |
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| C | S1 | Q1 | 173 | 25.2187 | 3000.0000 | 4348.0000 | 83 |
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| 20 |
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| C | S2 | Q2 | 170 | 24.7813 | 4356.0000 | 7736.4100 | 83 |
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| 21 |
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| C | S3 | Q3 | 173 | 25.2187 | 7829.2800 | 19191.8100 | 83 |
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| 22 |
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| C | S4 | Q4 | 170 | 24.7813 | 19322.9900 | 1355512.0000 | 83 |
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| 23 |
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| SEG_RH | S1 | RH_muito_baixo+RH_alto+RH_muito_alto+RH_desconhecido | 313 | 45.6268 | 3000.0000 | 1355512.0000 | 61 |
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| 24 |
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| SEG_RH | S2 | RH_baixo | 218 | 31.7784 | 3000.0000 | 408475.6000 | 61 |
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| 25 |
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| SEG_RH | S3 | RH_medio | 155 | 22.5948 | 3117.0000 | 77545.0000 | 61 |
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| 26 |
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| SEG_RH_IAPOND | S1 | RH_muito_baixo__IAPOND_medio+RH_alto__IAPOND_alto+RH_medio__IAPOND_alto+RH_alto__IAPOND_medio+RH_baixo__IAPOND_baixo+RH_muito_alto__IAPOND_alto+RH_muito_alto__IAPOND_medio+RH_baixo__IAPOND_alto | 201 | 29.3003 | 3000.0000 | 408475.6000 | 61 |
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| 27 |
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| SEG_RH_IAPOND | S2 | RH_baixo__IAPOND_medio | 170 | 24.7813 | 3000.0000 | 182247.6900 | 61 |
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| 28 |
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| SEG_RH_IAPOND | S3 | RH_medio__IAPOND_medio | 136 | 19.8251 | 3117.0000 | 77545.0000 | 61 |
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| 29 |
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| SEG_RH_IAPOND | S4 | RH_muito_baixo__IAPOND_baixo | 179 | 26.0933 | 3000.0000 | 1355512.0000 | 61 |
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| 30 |
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| SEG_TREE | S1 | leaf_2 | 119 | 17.3469 | 3000.0000 | 17249.0000 | 61 |
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| 31 |
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| SEG_TREE | S2 | leaf_5 | 225 | 32.7988 | 3000.0000 | 408475.6000 | 61 |
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| 32 |
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| SEG_TREE | S3 | leaf_6 | 239 | 34.8397 | 3077.0000 | 110099.8100 | 61 |
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| 33 |
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| SEG_TREE | S4 | leaf_3 | 103 | 15.0146 | 17485.0500 | 1355512.0000 | 61 |
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| 34 |
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| SEG_HIBRIDA | S1 | RH_muito_baixo__IAPOND_medio+RH_alto__IAPOND_alto+RH_medio__IAPOND_alto+RH_alto__IAPOND_medio+RH_baixo__IAPOND_baixo+RH_muito_alto__IAPOND_alto+RH_muito_alto__IAPOND_medio+RH_baixo__IAPOND_alto | 207 | 30.1749 | 3000.0000 | 408475.6000 | 61 |
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| 35 |
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| SEG_HIBRIDA | S2 | RH_baixo__IAPOND_medio | 170 | 24.7813 | 3000.0000 | 182247.6900 | 61 |
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| 36 |
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| SEG_HIBRIDA | S3 | RH_medio__IAPOND_medio | 136 | 19.8251 | 3117.0000 | 77545.0000 | 61 |
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| 37 |
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| SEG_HIBRIDA | S4 | RH_muito_baixo__IAPOND_baixo__AREA_alta | 89 | 12.9738 | 15840.6100 | 1355512.0000 | 61 |
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| 38 |
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| SEG_HIBRIDA | S5 | RH_muito_baixo__IAPOND_baixo__AREA_baixa | 84 | 12.2449 | 3000.0000 | 15840.0000 | 61 |
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| 39 |
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| SEG_ZONA | S1 | 10000_25000 | 149 | 21.7201 | 10100.0000 | 24897.6400 | 61 |
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| 40 |
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| SEG_ZONA | S2 | 25000+ | 140 | 20.4082 | 25040.0000 | 1355512.0000 | 61 |
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| 41 |
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| SEG_ZONA | S3 | 3000_10000+até_3000 | 397 | 57.8717 | 3000.0000 | 10000.0000 | 61 |
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| SEG_ZONA_RH_IAPOND | S1 | 10000_25000__RH_muito_baixo__IAPOND_medio+25000+__RH_baixo__IAPOND_medio+10000_25000__RH_alto__IAPOND_alto+25000+__RH_muito_baixo__IAPOND_baixo+3000_10000__RH_muito_baixo__IAPOND_baixo+10000_25000__RH_medio__IAPOND_medio+3000_10000__RH_medio__IAPOND_alto+10000_25000__RH_alto__IAPOND_medio+10000_25000__RH_muito_baixo__IAPOND_baixo+3000_10000__RH_alto__IAPOND_medio+25000+__RH_medio__IAPOND_medio+10000_25000__RH_baixo__IAPOND_medio+3000_10000__RH_muito_baixo__IAPOND_medio+25000+__RH_muito_baixo__IAPOND_medio+10000_25000__RH_baixo__IAPOND_baixo+3000_10000__RH_baixo__IAPOND_baixo+3000_10000__RH_alto__IAPOND_alto+até_3000__RH_muito_baixo__IAPOND_baixo+3000_10000__RH_muito_alto__IAPOND_alto+3000_10000__RH_muito_alto__IAPOND_medio+25000+__RH_alto__IAPOND_alto+25000+__RH_baixo__IAPOND_baixo+10000_25000__RH_muito_alto__IAPOND_medio+até_3000__RH_baixo__IAPOND_medio+3000_10000__RH_baixo__IAPOND_alto+até_3000__RH_muito_baixo__IAPOND_medio | 475 | 69.2420 | 3000.0000 | 1355512.0000 | 61 |
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| SEG_ZONA_RH_IAPOND | S2 | 3000_10000__RH_medio__IAPOND_medio | 109 | 15.8892 | 3117.0000 | 9425.0000 | 61 |
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| 44 |
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| SEG_ZONA_RH_IAPOND | S3 | 3000_10000__RH_baixo__IAPOND_medio | 102 | 14.8688 | 3046.4900 | 10000.0000 | 61 |
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## 3. Controles contra leakage
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- Superficie temporal, tier locacional e indice espacial grid sao ajustados apenas no treino de cada fold/holdout.
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- Holdout nao e usado para calibracao.
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- `VUNIT_bruto`, `VTOTAL_bruto`, targets log, ratios e `market_segment_area` foram removidos das features finais.
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## 4. Validacao Holdout espacial - modelo global
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| COD | PRD | Mediana | MAPE_VUNIT | MAPE_VTOTAL | RMSE_log | R2_log | R2_VUNIT |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| 50.8107 | 1.2967 | 1.0345 | 52.6712 | 52.6712 | 0.5832 | 0.7864 | 0.5858 |
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## 5. Validacao OOF espacial - modelo global
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| COD | PRD | Mediana | MAPE_VUNIT | MAPE_VTOTAL | RMSE_log | R2_log | R2_VUNIT |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| 59 |
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| 66.6799 | 1.5330 | 1.0309 | 68.7887 | 68.7887 | 0.6842 | 0.7496 | 0.5374 |
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| 60 |
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## 6. Metricas por segmento
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| segment_strategy | market_segment_area | n_holdout | COD_segment | PRD_segment | Mediana_segment | COD | PRD | Mediana | spearman_decil_ratio | slope_log_vunit_log_ratio | regressivity_flag | n_train | n_obs | pct_obs |
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| 63 |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| A | S1 | 89 | 42.3852 | 1.2964 | 1.0345 | 42.3852 | 1.2964 | 1.0345 | -0.8303 | -0.3004 | True | 308 | 397 | 57.8717 |
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| 65 |
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| A | S2 | 54 | 47.5451 | 1.1690 | 1.2795 | 47.5451 | 1.1690 | 1.2795 | -0.6000 | -0.1224 | True | 120 | 174 | 25.3644 |
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| 66 |
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| A | S3 | 40 | 61.1458 | 1.8598 | 0.9405 | 61.1458 | 1.8598 | 0.9405 | -0.9394 | -0.4954 | True | 75 | 115 | 16.7638 |
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| 67 |
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| B | S1 | 36 | 37.8899 | 1.3166 | 1.0616 | 37.8899 | 1.3166 | 1.0616 | -0.7091 | -0.3568 | True | 188 | 224 | 32.6531 |
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| B | S2 | 79 | 47.0742 | 1.2581 | 1.0966 | 47.0742 | 1.2581 | 1.0966 | -0.7333 | -0.2284 | True | 171 | 250 | 36.4431 |
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| 69 |
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| B | S3 | 34 | 79.1777 | 1.9224 | 0.6990 | 79.1777 | 1.9224 | 0.6990 | -0.7455 | -0.4478 | True | 83 | 117 | 17.0554 |
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| 70 |
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| B | S4 | 34 | 57.6653 | 1.3898 | 0.9764 | 57.6653 | 1.3898 | 0.9764 | -0.7091 | -0.3654 | True | 61 | 95 | 13.8484 |
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| 71 |
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| C | S1 | 34 | 65.3680 | 1.1804 | 1.0063 | 65.3680 | 1.1804 | 1.0063 | 0.0909 | -0.1460 | True | 139 | 173 | 25.2187 |
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| 72 |
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| C | S2 | 33 | 51.2014 | 1.3740 | 1.1437 | 51.2014 | 1.3740 | 1.1437 | -0.7212 | -0.3576 | True | 137 | 170 | 24.7813 |
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| 73 |
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| C | S3 | 60 | 93.2638 | 2.0879 | 1.1699 | 93.2638 | 2.0879 | 1.1699 | -0.9273 | -0.5517 | True | 113 | 173 | 25.2187 |
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| 74 |
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| C | S4 | 56 | 91.7048 | 2.0364 | 0.6797 | 91.7048 | 2.0364 | 0.6797 | -0.9515 | -0.4123 | True | 114 | 170 | 24.7813 |
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| 75 |
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| SEG_RH | S1 | 75 | 46.9095 | 1.2010 | 1.2224 | 46.9095 | 1.2010 | 1.2224 | -0.2485 | -0.0372 | False | 238 | 313 | 45.6268 |
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| 76 |
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| SEG_RH | S2 | 72 | 96.1847 | 1.9397 | 1.1522 | 96.1847 | 1.9397 | 1.1522 | -0.9879 | -0.7193 | True | 146 | 218 | 31.7784 |
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| 77 |
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| SEG_RH | S3 | 36 | 86.3774 | 1.5249 | 0.7060 | 86.3774 | 1.5249 | 0.7060 | -0.9030 | -0.9326 | True | 119 | 155 | 22.5948 |
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| 78 |
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| SEG_RH_IAPOND | S1 | 65 | 88.1732 | 2.0466 | 1.7629 | 88.1732 | 2.0466 | 1.7629 | -0.9758 | -0.4325 | True | 136 | 201 | 29.3003 |
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| 79 |
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| SEG_RH_IAPOND | S2 | 51 | 73.9828 | 1.4228 | 0.8452 | 73.9828 | 1.4228 | 0.8452 | -0.8545 | -0.7851 | True | 119 | 170 | 24.7813 |
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| 80 |
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| SEG_RH_IAPOND | S3 | 30 | 41.4433 | 1.1556 | 0.6606 | 41.4433 | 1.1556 | 0.6606 | -0.8182 | -1.2899 | True | 106 | 136 | 19.8251 |
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| 81 |
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| SEG_RH_IAPOND | S4 | 37 | 62.1676 | 2.3086 | 0.9073 | 62.1676 | 2.3086 | 0.9073 | -0.9636 | -0.9368 | True | 142 | 179 | 26.0933 |
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| 82 |
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| SEG_TREE | S1 | 28 | 39.0577 | 1.3565 | 1.2971 | 39.0577 | 1.3565 | 1.2971 | -0.8303 | -0.7126 | True | 91 | 119 | 17.3469 |
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| 83 |
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| SEG_TREE | S2 | 72 | 103.2132 | 1.7797 | 1.0686 | 103.2132 | 1.7797 | 1.0686 | -0.9394 | -0.5899 | True | 153 | 225 | 32.7988 |
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| 84 |
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| SEG_TREE | S3 | 61 | 68.8847 | 1.4048 | 0.9642 | 68.8847 | 1.4048 | 0.9642 | -0.9394 | -0.8869 | True | 178 | 239 | 34.8397 |
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| 85 |
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| SEG_TREE | S4 | 22 | 68.4798 | 1.4897 | 0.6801 | 68.4798 | 1.4897 | 0.6801 | -0.9273 | -0.8793 | True | 81 | 103 | 15.0146 |
|
| 86 |
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| SEG_HIBRIDA | S1 | 71 | 54.8269 | 1.3990 | 1.0699 | 54.8269 | 1.3990 | 1.0699 | -0.4424 | -0.2174 | True | 136 | 207 | 30.1749 |
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| 87 |
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| SEG_HIBRIDA | S2 | 51 | 55.6111 | 1.3481 | 1.0197 | 55.6111 | 1.3481 | 1.0197 | -0.8061 | -0.6879 | True | 119 | 170 | 24.7813 |
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| 88 |
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| SEG_HIBRIDA | S3 | 30 | 30.9056 | 1.1267 | 1.0150 | 30.9056 | 1.1267 | 1.0150 | -0.9636 | -1.0319 | True | 106 | 136 | 19.8251 |
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| 89 |
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| SEG_HIBRIDA | S4 | 19 | 57.3348 | 1.3052 | 0.9228 | 57.3348 | 1.3052 | 0.9228 | -0.8667 | -0.9231 | True | 70 | 89 | 12.9738 |
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| 90 |
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| SEG_HIBRIDA | S5 | 12 | 21.8245 | 1.1193 | 1.5372 | 21.8245 | 1.1193 | 1.5372 | -0.8303 | -0.9962 | True | 72 | 84 | 12.2449 |
|
| 91 |
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| SEG_ZONA | S1 | 49 | 72.6792 | 2.1378 | 1.2489 | 72.6792 | 2.1378 | 1.2489 | -0.9879 | -0.4920 | True | 100 | 149 | 21.7201 |
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| 92 |
+
| SEG_ZONA | S2 | 45 | 92.5975 | 2.0700 | 0.6183 | 92.5975 | 2.0700 | 0.6183 | -0.9152 | -0.3790 | True | 95 | 140 | 20.4082 |
|
| 93 |
+
| SEG_ZONA | S3 | 89 | 39.6969 | 1.2921 | 1.1000 | 39.6969 | 1.2921 | 1.1000 | -0.8182 | -0.2822 | True | 308 | 397 | 57.8717 |
|
| 94 |
+
| SEG_ZONA_RH_IAPOND | S1 | 124 | 55.1794 | 1.3622 | 1.0462 | 55.1794 | 1.3622 | 1.0462 | -0.6727 | -0.1915 | True | 351 | 475 | 69.2420 |
|
| 95 |
+
| SEG_ZONA_RH_IAPOND | S2 | 29 | 23.5628 | 1.0720 | 1.0105 | 23.5628 | 1.0720 | 1.0105 | -0.9394 | -0.7604 | True | 80 | 109 | 15.8892 |
|
| 96 |
+
| SEG_ZONA_RH_IAPOND | S3 | 30 | 56.4677 | 1.4152 | 1.0416 | 56.4677 | 1.4152 | 1.0416 | -0.9879 | -0.7950 | True | 72 | 102 | 14.8688 |
|
| 97 |
+
|
| 98 |
+
## 7. Comparacao de abordagens
|
| 99 |
+
| approach_id | architecture | segment_strategy | rule_description | COD | PRD | Mediana | score_iaao | spearman_decil_ratio | slope_log_vunit_log_ratio | regressivity_flag | segment_cod_max | segment_prd_gap_max | eligible_for_production | promoted_to_production | rejection_reason |
|
| 100 |
+
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
| 101 |
+
| gleba_vunit_global_single_model | global_single | None | modelo unico global | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | | | True | True | |
|
| 102 |
+
| gleba_vunit_global_zone_feature | global_zone_feature | ZONA_FEATURE | modelo unico com coluna locacional de zonas existente no PARQUET | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | 66.3779 | 0.8729 | False | False | PRD fora de 0.95-1.10 |
|
| 103 |
+
| gleba_vunit_segmented_model_A | segmented | A | S1 <=3000; S2 3000-10000; S3 10000-30000; S4 >30000 | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | 61.1458 | 0.8598 | False | False | segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 104 |
+
| gleba_vunit_segmented_model_B | segmented | B | S1 <=5000; S2 5000-15000; S3 15000-40000; S4 >40000 | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | 79.1777 | 0.9224 | False | False | segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 105 |
+
| gleba_vunit_segmented_model_SEG_HIBRIDA | segmented | SEG_HIBRIDA | Regime economico RH x IAPOND com refinamento por AREA apenas em grupos robustos. | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | 57.3348 | 0.3990 | False | False | segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 106 |
+
| gleba_vunit_segmented_model_SEG_ZONA_RH_IAPOND | segmented | SEG_ZONA_RH_IAPOND | Regime locacional por zona com refinamento interno RH x IAPOND, ajustado sem holdout. | 50.8107 | 1.2967 | 1.0345 | 875.6034 | -0.9152 | -0.1476 | True | 56.4677 | 0.4152 | False | False | segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 107 |
+
| gleba_vunit_global_zone_interactions | global_zone_interactions | ZONA_FEATURE | modelo unico com zona e interacoes Zona x RH/IAPOND/AREA/APP/Area_Total_Construivel | 51.4656 | 1.3302 | 0.9926 | 878.8489 | -0.6727 | -0.1396 | True | 61.4291 | 0.6998 | False | False | PRD fora de 0.95-1.10 |
|
| 108 |
+
| gleba_vunit_hybrid_b_zone_market_single | hybrid_global | ZONA_FEATURE_INTERACTIONS | zona organiza regimes de mercado como feature/interacao; sem quebrar em submodelos | 51.7988 | 1.3568 | 1.0041 | 1162.9498 | -0.7576 | -0.1609 | True | 62.5140 | 0.7592 | False | False | PRD fora de 0.95-1.10 |
|
| 109 |
+
| experimento_cenario_5_sem_pesos | experimental | None | | 63.3247 | 1.4656 | 1.0262 | 1624.5209 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 110 |
+
| experimento_cenario_0_baseline | experimental | None | | 65.0201 | 1.4691 | 1.0214 | 1652.4308 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 111 |
+
| gleba_vunit_segmented_model_SEG_ZONA | segmented | SEG_ZONA | Segmentacao locacional primaria pela coluna de zonas existente no PARQUET. | 61.7765 | 1.4815 | 1.0267 | 1959.0354 | -0.9030 | -0.2452 | True | 92.5975 | 1.1378 | False | False | COD explosivo em segmento (92.60 > 35.00); desvio de PRD em segmento relevante (1.1378 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 112 |
+
| gleba_vunit_segmented_model_SEG_TREE | segmented | SEG_TREE | Arvore rasa supervisionada em log1p(VUNIT), ajustada somente no treino e aplicada ao holdout. | 78.7997 | 1.5136 | 1.0312 | 2083.3025 | -0.6121 | -0.2017 | True | 103.2132 | 0.7797 | False | False | COD explosivo em segmento (103.21 > 35.00); desvio de PRD em segmento relevante (0.7797 > 0.0800); PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08 |
|
| 113 |
+
| gleba_vunit_oof_evidencia | global_single | None | | 66.6799 | 1.5330 | 1.0309 | 2362.1559 | -0.8788 | -0.2169 | True | | | False | False | OOF e evidencia auxiliar; nao substitui Holdout espacial; PRD fora de 0.95-1.10 |
|
| 114 |
+
| gleba_vunit_segmented_model_C | segmented | C | 4 segmentos por quantis robustos de AREA, com fusao adjacente se necessario | 85.4988 | 1.5571 | 0.9508 | 2599.0197 | -0.8667 | -0.3547 | True | 93.2638 | 1.0879 | False | False | COD explosivo em segmento (93.26 > 35.00); desvio de PRD em segmento relevante (1.0879 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 115 |
+
| gleba_vunit_segmented_model_SEG_RH | segmented | SEG_RH | Segmentacao primaria por RH em faixas urbanisticas ex-ante. | 75.0689 | 1.5836 | 1.0828 | 2817.1632 | -0.8667 | -0.3009 | True | 96.1847 | 0.9397 | False | False | COD explosivo em segmento (96.18 > 35.00); desvio de PRD em segmento relevante (0.9397 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 116 |
+
| gleba_vunit_segmented_model_SEG_RH_IAPOND | segmented | SEG_RH_IAPOND | Segmentacao primaria por combinacao RH x IAPOND, com IAPOND em tercis ajustados no treino. | 97.0719 | 1.7097 | 0.9997 | 4095.3983 | -0.9152 | -0.3005 | True | 88.1732 | 1.3086 | False | False | COD explosivo em segmento (88.17 > 35.00); desvio de PRD em segmento relevante (1.3086 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte |
|
| 117 |
+
| experimento_cenario_1_segmentacao | experimental | None | | 113.9429 | 2.1633 | 1.0578 | 10485.0422 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 118 |
+
| experimento_cenario_2_segmentacao_localizacao | experimental | None | | 133.7315 | 2.4676 | 0.9478 | 16781.8380 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 119 |
+
| experimento_cenario_4_log_smearing | experimental | None | | 176.4465 | 3.3776 | 1.2868 | 44492.6572 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; mediana fora de 0.90-1.10; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 120 |
+
| experimento_cenario_3_target_vunit_direto | experimental | None | | 227.1318 | 4.0035 | 2.0176 | 71458.6874 | | | False | | | False | False | experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; mediana fora de 0.90-1.10; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout |
|
| 121 |
+
|
| 122 |
+
## 8. Abordagem promovida para producao
|
| 123 |
+
- Approach ID: gleba_vunit_global_single_model
|
| 124 |
+
- Motivo: selecionada por prioridade IAAO: abs(PRD-1), COD, mediana, regressividade e so depois erro preditivo
|
| 125 |
+
- COD: 50.8107
|
| 126 |
+
- PRD: 1.2967
|
| 127 |
+
- Mediana: 1.0345
|
| 128 |
+
|
| 129 |
+
## 9. Limitacoes remanescentes
|
| 130 |
+
- Se o status for fora da meta, o modelo deve ser tratado como melhor disponivel nesta rodada, nao como conformidade plena.
|
| 131 |
+
- Regressividade por decil deve ser reavaliada por regioes e submercados.
|
| 132 |
+
- Transformacao logaritmica exige leitura operacional sempre na escala original recomposta.
|
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| 1 |
+
approach_id,approach_name,architecture,segment_strategy,segments_used,target_train,eval_target,validation_type,COD,PRD,Mediana,MAPE_VUNIT,MAPE_VTOTAL,RMSE_log,R2_log,score_iaao,spearman_decil_ratio,slope_log_vunit_log_ratio,regressivity_flag,segment_cod_max,segment_prd_gap_max,segments_sufficient_n,has_granularity,n_by_segment,rule_description,eligible_for_production,rejection_reason,promoted_to_production,leakage_flag,experimental
|
| 2 |
+
gleba_vunit_global_single_model,GLEBA VUNIT global single model / XGBoost espacial,global_single,,,log1p(VUNIT_bruto),VUNIT,Holdout espacial global,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,,,True,True,,modelo unico global,True,,True,False,False
|
| 3 |
+
gleba_vunit_global_zone_feature,GLEBA VUNIT global + zona como feature,global_zone_feature,ZONA_FEATURE,"3000_10000,10000_25000,25000+,até_3000",log1p(VUNIT_bruto),VUNIT,Holdout espacial global,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,66.37788174997793,0.8729184383425754,True,True,"[{""zona"":""3000_10000"",""n_treino"":299,""n_holdout"":89},{""zona"":""10000_25000"",""n_treino"":100,""n_holdout"":49},{""zona"":""25000+"",""n_treino"":95,""n_holdout"":45},{""zona"":""até_3000"",""n_treino"":9,""n_holdout"":0}]",modelo unico com coluna locacional de zonas existente no PARQUET,False,PRD fora de 0.95-1.10,False,False,False
|
| 4 |
+
gleba_vunit_segmented_model_A,GLEBA VUNIT multi-modelos segmentada estrategia A,segmented,A,"S1,S2,S3",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,61.14580515742623,0.8598104230714301,False,True,"[{""market_segment_area"":""S1"",""n_train"":308,""n_holdout"":89},{""market_segment_area"":""S2"",""n_train"":120,""n_holdout"":54},{""market_segment_area"":""S3"",""n_train"":75,""n_holdout"":40}]",S1 <=3000; S2 3000-10000; S3 10000-30000; S4 >30000,False,segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 5 |
+
gleba_vunit_segmented_model_B,GLEBA VUNIT multi-modelos segmentada estrategia B,segmented,B,"S1,S2,S3,S4",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,79.17774266034148,0.9224204879101028,False,True,"[{""market_segment_area"":""S1"",""n_train"":188,""n_holdout"":36},{""market_segment_area"":""S2"",""n_train"":171,""n_holdout"":79},{""market_segment_area"":""S3"",""n_train"":83,""n_holdout"":34},{""market_segment_area"":""S4"",""n_train"":61,""n_holdout"":34}]",S1 <=5000; S2 5000-15000; S3 15000-40000; S4 >40000,False,segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 6 |
+
gleba_vunit_segmented_model_SEG_HIBRIDA,GLEBA VUNIT multi-modelos segmentada estrategia SEG_HIBRIDA,segmented,SEG_HIBRIDA,"S1,S2,S3,S4,S5",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,57.33475309251893,0.3989513949763508,False,True,"[{""market_segment_area"":""S1"",""n_train"":136,""n_holdout"":71},{""market_segment_area"":""S2"",""n_train"":119,""n_holdout"":51},{""market_segment_area"":""S3"",""n_train"":106,""n_holdout"":30},{""market_segment_area"":""S4"",""n_train"":70,""n_holdout"":19},{""market_segment_area"":""S5"",""n_train"":72,""n_holdout"":12}]",Regime economico RH x IAPOND com refinamento por AREA apenas em grupos robustos.,False,segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 7 |
+
gleba_vunit_segmented_model_SEG_ZONA_RH_IAPOND,GLEBA VUNIT multi-modelos segmentada estrategia SEG_ZONA_RH_IAPOND,segmented,SEG_ZONA_RH_IAPOND,"S1,S2,S3",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,50.81070701170509,1.2966884787562993,1.0345100698516345,52.67123499893442,52.671234998934345,0.5831865740326015,0.786422365708025,875.6033716342031,-0.9151515151515152,-0.14763525875515868,True,56.46769486938991,0.41519089879783944,False,True,"[{""market_segment_area"":""S1"",""n_train"":351,""n_holdout"":124},{""market_segment_area"":""S2"",""n_train"":80,""n_holdout"":29},{""market_segment_area"":""S3"",""n_train"":72,""n_holdout"":30}]","Regime locacional por zona com refinamento interno RH x IAPOND, ajustado sem holdout.",False,segmentos frageis para multi-modelos; regime mantido apenas como feature candidata no modelo unico; PRD fora de 0.95-1.10; nem todos os segmentos tem N suficiente; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 8 |
+
gleba_vunit_global_zone_interactions,GLEBA VUNIT global + zona + interacoes,global_zone_interactions,ZONA_FEATURE,"3000_10000,10000_25000,25000+,até_3000",log1p(VUNIT_bruto),VUNIT,Holdout espacial global,51.465597766166226,1.3301911366825974,0.9925693095261648,51.087233325712674,51.08723332571261,0.5919717141270571,0.7799392197873777,878.8489438746511,-0.6727272727272726,-0.1395847386295975,True,61.429117778305454,0.6997504168840014,True,True,"[{""zona"":""3000_10000"",""n_treino"":299,""n_holdout"":89},{""zona"":""10000_25000"",""n_treino"":100,""n_holdout"":49},{""zona"":""25000+"",""n_treino"":95,""n_holdout"":45},{""zona"":""até_3000"",""n_treino"":9,""n_holdout"":0}]",modelo unico com zona e interacoes Zona x RH/IAPOND/AREA/APP/Area_Total_Construivel,False,PRD fora de 0.95-1.10,False,False,False
|
| 9 |
+
gleba_vunit_hybrid_b_zone_market_single,GLEBA VUNIT hibrida B: zona organizadora + modelo unico,hybrid_global,ZONA_FEATURE_INTERACTIONS,"3000_10000,10000_25000,25000+,até_3000",log1p(VUNIT_bruto),VUNIT,Holdout espacial global,51.79883949269648,1.356793540887276,1.004140232720478,52.01556116509857,52.015561165098504,0.5948611146389344,0.7777857537173103,1162.9498259105426,-0.7575757575757575,-0.16092648235033022,True,62.513981872912744,0.7592149957666425,True,True,"[{""zona"":""3000_10000"",""n_treino"":299,""n_holdout"":89},{""zona"":""10000_25000"",""n_treino"":100,""n_holdout"":49},{""zona"":""25000+"",""n_treino"":95,""n_holdout"":45},{""zona"":""até_3000"",""n_treino"":9,""n_holdout"":0}]",zona organiza regimes de mercado como feature/interacao; sem quebrar em submodelos,False,PRD fora de 0.95-1.10,False,False,False
|
| 10 |
+
experimento_cenario_5_sem_pesos,Experimento IAAO - CENARIO_5_SEM_PESOS,experimental,,,VTOTAL_log,VUNIT,OOF espacial experimental,63.32469528893774,1.4655845938542547,1.026181666665575,,,,,1624.520897803283,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
| 11 |
+
experimento_cenario_0_baseline,Experimento IAAO - CENARIO_0_BASELINE,experimental,,,VTOTAL_log,VUNIT,OOF espacial experimental,65.0201411546939,1.4690886187949967,1.0214075857615885,,,,,1652.4308035517713,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
| 12 |
+
gleba_vunit_segmented_model_SEG_ZONA,GLEBA VUNIT multi-modelos segmentada estrategia SEG_ZONA,segmented,SEG_ZONA,"S1,S2,S3",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,61.77645966256435,1.4814535554564878,1.0266911744390876,63.47895024096037,63.47895024096025,0.6667009089048048,0.7208723677132163,1959.0354211995616,-0.9030303030303028,-0.24522868019775582,True,92.59746649162378,1.1378031154919839,True,True,"[{""market_segment_area"":""S1"",""n_train"":100,""n_holdout"":49},{""market_segment_area"":""S2"",""n_train"":95,""n_holdout"":45},{""market_segment_area"":""S3"",""n_train"":308,""n_holdout"":89}]",Segmentacao locacional primaria pela coluna de zonas existente no PARQUET.,False,COD explosivo em segmento (92.60 > 35.00); desvio de PRD em segmento relevante (1.1378 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 13 |
+
gleba_vunit_segmented_model_SEG_TREE,GLEBA VUNIT multi-modelos segmentada estrategia SEG_TREE,segmented,SEG_TREE,"S1,S2,S3,S4",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,78.79969788100175,1.5135678777616588,1.0311638349730357,81.33746047250337,81.33746047250324,0.7255268483006375,0.6694419683573303,2083.3025349853197,-0.6121212121212121,-0.20165742184719893,True,103.21316577413798,0.7796719930077605,True,True,"[{""market_segment_area"":""S1"",""n_train"":91,""n_holdout"":28},{""market_segment_area"":""S2"",""n_train"":153,""n_holdout"":72},{""market_segment_area"":""S3"",""n_train"":178,""n_holdout"":61},{""market_segment_area"":""S4"",""n_train"":81,""n_holdout"":22}]","Arvore rasa supervisionada em log1p(VUNIT), ajustada somente no treino e aplicada ao holdout.",False,COD explosivo em segmento (103.21 > 35.00); desvio de PRD em segmento relevante (0.7797 > 0.0800); PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08,False,False,False
|
| 14 |
+
gleba_vunit_oof_evidencia,GLEBA VUNIT OOF / evidencia auxiliar,global_single,,,log1p(VUNIT_bruto),VUNIT,OOF espacial,66.67987675675782,1.532965720620265,1.0309145536009,68.78865817660345,68.78865817660335,0.6841896110498905,0.749634825476368,2362.155882466014,-0.8787878787878788,-0.21691428098843576,True,,,True,True,,,False,OOF e evidencia auxiliar; nao substitui Holdout espacial; PRD fora de 0.95-1.10,False,False,False
|
| 15 |
+
gleba_vunit_segmented_model_C,GLEBA VUNIT multi-modelos segmentada estrategia C,segmented,C,"S1,S2,S3,S4",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,85.49880502270061,1.5571411188161601,0.9508153774446885,81.41307676612993,81.41307676612979,0.740328229817129,0.6558170463110332,2599.0196832194256,-0.8666666666666665,-0.3546600574553126,True,93.2637848051099,1.0879249990339428,True,True,"[{""market_segment_area"":""S1"",""n_train"":139,""n_holdout"":34},{""market_segment_area"":""S2"",""n_train"":137,""n_holdout"":33},{""market_segment_area"":""S3"",""n_train"":113,""n_holdout"":60},{""market_segment_area"":""S4"",""n_train"":114,""n_holdout"":56}]","4 segmentos por quantis robustos de AREA, com fusao adjacente se necessario",False,COD explosivo em segmento (93.26 > 35.00); desvio de PRD em segmento relevante (1.0879 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 16 |
+
gleba_vunit_segmented_model_SEG_RH,GLEBA VUNIT multi-modelos segmentada estrategia SEG_RH,segmented,SEG_RH,"S1,S2,S3",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,75.06893673766768,1.5836455370600413,1.0827942208092212,81.62744504349223,81.62744504349209,0.7045923034232162,0.688242775027327,2817.1631853701138,-0.8666666666666665,-0.30091742182924763,True,96.18471629241371,0.9396843905299008,True,True,"[{""market_segment_area"":""S1"",""n_train"":238,""n_holdout"":75},{""market_segment_area"":""S2"",""n_train"":146,""n_holdout"":72},{""market_segment_area"":""S3"",""n_train"":119,""n_holdout"":36}]",Segmentacao primaria por RH em faixas urbanisticas ex-ante.,False,COD explosivo em segmento (96.18 > 35.00); desvio de PRD em segmento relevante (0.9397 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 17 |
+
gleba_vunit_segmented_model_SEG_RH_IAPOND,GLEBA VUNIT multi-modelos segmentada estrategia SEG_RH_IAPOND,segmented,SEG_RH_IAPOND,"S1,S2,S3,S4",log1p(VUNIT_bruto),VUNIT,Holdout espacial global consolidado,97.07186533127904,1.7097292301764841,0.9996691339573254,97.03992834845803,97.03992834845786,0.8058030980971826,0.5922456499861015,4095.398341513084,-0.9151515151515152,-0.3004735023103716,True,88.1731903094569,1.3085734914390512,True,True,"[{""market_segment_area"":""S1"",""n_train"":136,""n_holdout"":65},{""market_segment_area"":""S2"",""n_train"":119,""n_holdout"":51},{""market_segment_area"":""S3"",""n_train"":106,""n_holdout"":30},{""market_segment_area"":""S4"",""n_train"":142,""n_holdout"":37}]","Segmentacao primaria por combinacao RH x IAPOND, com IAPOND em tercis ajustados no treino.",False,COD explosivo em segmento (88.17 > 35.00); desvio de PRD em segmento relevante (1.3086 > 0.0800); regressividade global forte no holdout consolidado; PRD fora de 0.95-1.10; ha segmento com COD acima de 35.0; ha segmento relevante com abs(PRD-1) acima de 0.08; regressividade global forte,False,False,False
|
| 18 |
+
experimento_cenario_1_segmentacao,Experimento IAAO - CENARIO_1_SEGMENTACAO,experimental,,,VTOTAL_log,VUNIT,OOF espacial experimental,113.9428999600558,2.1632917683120088,1.0578483290684435,,,,,10485.042155630723,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
| 19 |
+
experimento_cenario_2_segmentacao_localizacao,Experimento IAAO - CENARIO_2_SEGMENTACAO_LOCALIZACAO,experimental,,,VTOTAL_log,VUNIT,OOF espacial experimental,133.73150845404805,2.467606957387364,0.9477836794331518,,,,,16781.838024506585,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
| 20 |
+
experimento_cenario_4_log_smearing,Experimento IAAO - CENARIO_4_LOG_SMEARING,experimental,,,VUNIT_log,VUNIT,OOF espacial experimental,176.44645000712293,3.377570850225595,1.2868437120270184,,,,,44492.65718825373,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; mediana fora de 0.90-1.10; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
| 21 |
+
experimento_cenario_3_target_vunit_direto,Experimento IAAO - CENARIO_3_TARGET_VUNIT_DIRETO,experimental,,,VUNIT_direct,VUNIT,OOF espacial experimental,227.13176906827505,4.003511264854678,2.0175664619472853,,,,,71458.68741446208,,,False,,,True,False,,,False,experimento comparativo sem promocao automatica e sem granularidade produtiva confirmada; mediana fora de 0.90-1.10; PRD fora de 0.95-1.10; cenario experimental sem granularidade propria nao pode ser promovido; experimento OOF auxiliar; requer confirmacao em Holdout antes de producao; piora COD contra modelo global Holdout; piora PRD contra modelo global Holdout,False,False,True
|
artifacts_gleba_cadastro/gleba_production_decision.json
ADDED
|
@@ -0,0 +1,20 @@
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| 1 |
+
{
|
| 2 |
+
"production_approach_id": "gleba_vunit_global_single_model",
|
| 3 |
+
"production_approach_name": "GLEBA VUNIT global single model / XGBoost espacial",
|
| 4 |
+
"architecture": "global_single",
|
| 5 |
+
"segment_strategy": null,
|
| 6 |
+
"segments_used": [],
|
| 7 |
+
"model_status": "fora_meta_iaao_melhor_disponivel",
|
| 8 |
+
"production_selection_reason": "selecionada por prioridade IAAO: abs(PRD-1), COD, mediana, regressividade e so depois erro preditivo",
|
| 9 |
+
"metrics": {
|
| 10 |
+
"COD": 50.81070701170509,
|
| 11 |
+
"PRD": 1.2966884787562993,
|
| 12 |
+
"Mediana": 1.0345100698516345,
|
| 13 |
+
"score_iaao": 875.6033716342031,
|
| 14 |
+
"spearman_decil_ratio": -0.9151515151515152,
|
| 15 |
+
"slope_log_vunit_log_ratio": -0.14763525875515868,
|
| 16 |
+
"regressivity_flag": true,
|
| 17 |
+
"segment_cod_max": null,
|
| 18 |
+
"segment_prd_gap_max": null
|
| 19 |
+
}
|
| 20 |
+
}
|
artifacts_gleba_cadastro/gleba_regressivity_holdout_vunit.csv
ADDED
|
@@ -0,0 +1,11 @@
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|
| 1 |
+
decil,n,vunit_real_min,vunit_real_max,vunit_real_median,median_ratio,mean_ratio,COD_decil,erro_mediano_percentual,flag_sobreavaliacao,flag_subavaliacao
|
| 2 |
+
1,19,14.985000000000001,45.96779169494659,34.167731018605096,1.7941064156172963,2.021855349177077,34.19579143083832,79.41064156172963,True,False
|
| 3 |
+
2,18,48.3697599426728,67.22366272928068,57.233896545134,1.1852480240952883,1.1727283761157532,43.81290500494735,18.524802409528828,True,False
|
| 4 |
+
3,18,78.67694283879251,130.05780346820796,109.23696571397804,1.1592850186116146,1.527920752581319,61.79851676359663,15.92850186116146,True,False
|
| 5 |
+
4,19,130.13778041733997,210.0517129928891,171.299288946347,1.0792013510808036,1.2526215089636021,46.49039398371545,7.920135108080362,True,False
|
| 6 |
+
5,18,212.50000000000003,349.37376400791015,279.83068863330647,1.0880414562943819,1.2953917286261643,60.79115710453077,8.804145629438187,True,False
|
| 7 |
+
6,18,353.70990387730814,475.62933080364616,405.88418717059403,1.0796350342239402,1.244635291664166,37.547588963787305,7.963503422394025,True,False
|
| 8 |
+
7,19,479.427426673287,706.081717190736,636.7173682348778,0.9010691696545776,1.0454391943241574,44.549073889201296,-9.893083034542238,False,True
|
| 9 |
+
8,18,708.3333333333334,995.5657501488373,857.1218672599801,0.9509084336380305,0.9332623351909635,43.00779478374901,-4.909156636196954,False,True
|
| 10 |
+
9,18,1000.12196609342,1187.89689951438,1097.6279082219949,1.0597406316042306,1.0311794181882528,19.774279460227376,5.97406316042306,True,False
|
| 11 |
+
10,18,1199.8716714789803,4495.055439017083,1476.6565097489747,0.7615978943274804,0.7378177351041039,30.369887871056143,-23.84021056725196,False,True
|
artifacts_gleba_cadastro/gleba_regressivity_oof_vunit.csv
ADDED
|
@@ -0,0 +1,11 @@
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|
| 1 |
+
decil,n,vunit_real_min,vunit_real_max,vunit_real_median,median_ratio,mean_ratio,COD_decil,erro_mediano_percentual,flag_sobreavaliacao,flag_subavaliacao
|
| 2 |
+
1,69,5.0,41.6790711521286,19.784002655452795,2.175580100371492,2.8002780687873754,60.34553451218497,117.5580100371492,True,False
|
| 3 |
+
2,69,42.3772841275528,76.0813796277854,55.55555555555551,1.6075277912723611,1.6280135190716818,45.34200554263112,60.75277912723611,True,False
|
| 4 |
+
3,68,76.49095806079261,124.70588235294096,100.95108695652152,1.3033331388746987,1.883209351463997,83.62365321957542,30.33331388746987,True,False
|
| 5 |
+
4,69,125.49019607843104,207.66035994462305,166.66666666666603,1.0307293318268658,1.3037765425214864,61.25743431428119,3.072933182686577,True,False
|
| 6 |
+
5,68,208.54187520854097,331.1258278145691,278.353368744758,0.9131124767705429,1.1699399347320387,62.77441013523762,-8.688752322945714,False,True
|
| 7 |
+
6,69,331.45716072545304,505.0505050505051,393.0591795947859,1.0846451034995361,1.1973135690045096,41.268724708323795,8.464510349953613,True,False
|
| 8 |
+
7,69,510.0182149362469,710.0591715976332,599.3150684931501,1.2264938550108941,1.1938988765740868,36.57601464530489,22.649385501089412,True,False
|
| 9 |
+
8,68,719.2211055276377,999.9611144856577,862.5247693902677,0.8002098649186304,0.8421522890098901,38.23358363638686,-19.979013508136955,False,True
|
| 10 |
+
9,69,999.9999999999999,1318.8518231186895,1121.98303979125,0.884182707422958,0.8836371458423151,31.121756502266674,-11.581729257704199,False,True
|
| 11 |
+
10,68,1319.6152985909105,6022.3015334681395,1644.6033494651256,0.7175294409723458,0.6844340543956127,28.684747793895493,-28.247055902765418,False,True
|
artifacts_gleba_cadastro/gleba_search_results.csv
CHANGED
|
@@ -1,65 +1,7 @@
|
|
| 1 |
combo_id,active_blocks,n_blocks,n_features,selected_vars,selection_score,mean_cod,mean_prd,mean_mediana,std_cod,std_prd,std_mediana,mean_gap_cod,mean_gap_prd,mean_gap_mediana,mean_val_score,avg_best_iteration,best_reg_power
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
17,mercado_base + estrutura_gleba + localizacao_absoluta,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, x, y",12105.426496874794,55.80341821106538,1.4314043427256262,0.9603453767905135,10.445710778568134,0.15249730507899692,0.12506280872671402,23.822828368711164,0.2177108373498371,0.0859680554676267,10091.431253014609,136,-0.8078982867703325
|
| 9 |
-
21,mercado_base + estrutura_gleba + acessibilidade + localizacao_absoluta,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, x, y",12185.592754956082,55.46129859967904,1.4346037289367697,0.9784555252859876,14.428295108022867,0.17117585714449368,0.1267514007802958,16.933411861258328,0.15429881739164328,0.08484479244466574,10564.39089907213,85,1.2329570897875222
|
| 10 |
-
31,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + zoneamento + localizacao_absoluta,6,28,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",12423.768242916392,53.24648902071155,1.4583308652740932,0.952903658114467,8.653231613566595,0.12638776091777867,0.09347260419204076,16.578647359202954,0.20042615226682392,0.08077125153564761,10748.90388988943,92,0.18508954496339863
|
| 11 |
-
9,mercado_base + estrutura_gleba + zoneamento,3,18,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",12440.232960913705,57.47076389136486,1.4339090550742961,0.99434999694668,10.016446766297593,0.166601968936013,0.11935923170899285,24.38358295654095,0.22106430889941514,0.07755781164927052,10334.908529062011,168,-0.42974493088731935
|
| 12 |
-
29,mercado_base + estrutura_gleba + acessibilidade + zoneamento + localizacao_absoluta,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",12519.99592453213,52.617148733321635,1.4412177674978663,0.9789736582791584,7.037111188478035,0.16022543825692137,0.09014714944121965,21.785944032209766,0.23420153238107502,0.0556153815309187,10386.580421805867,206,-1.2040988900132736
|
| 13 |
-
7,mercado_base + estrutura_gleba + entorno_forma + acessibilidade,4,18,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park",12814.309555678752,54.74005875267583,1.4676404921633806,0.955322933351201,11.428094047172253,0.11998899099803577,0.13489266902605196,17.48063350046208,0.16374720243763186,0.10666224309391589,11379.481907839228,127,-1.2735381957990262
|
| 14 |
-
1,mercado_base + estrutura_gleba,2,10,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo",13415.64609757254,57.3772816753675,1.4750711225734419,0.9422789470090787,13.279647321584877,0.12876913535448753,0.1366135755740572,16.680778024505326,0.1705063804277349,0.110669988858022,11883.006999864856,428,-0.6978232191319357
|
| 15 |
-
5,mercado_base + estrutura_gleba + acessibilidade,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park",13454.405631527608,55.334413155208004,1.4648081252952387,0.9882969554568988,13.738064376013496,0.15189352348519988,0.17040426425571192,15.761167265505957,0.1604729989614847,0.12659258753118363,11845.033985827356,109,0.10668825533020737
|
| 16 |
-
15,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + zoneamento,5,26,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",13996.481388338038,53.540162883699196,1.4804089738031025,1.0040110518788599,11.458676550357188,0.15341768601547615,0.12874199481557283,16.148370673800084,0.1876633273432071,0.09476797294325576,12245.021857787006,253,-0.07015292910060286
|
| 17 |
-
13,mercado_base + estrutura_gleba + acessibilidade + zoneamento,4,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",15295.706407531721,54.12238313786297,1.4931994254169103,0.9944240068682662,10.234437009124981,0.15928961198778874,0.14654329514130868,20.964227035781917,0.24762391757343732,0.10638447028190158,12957.133712483737,220,-0.5768630331975823
|
| 18 |
-
57,mercado_base + estrutura_gleba + zoneamento + localizacao_absoluta + localizacao_aprendida,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",23570.55553837507,59.65626890954808,1.5991044076675167,0.9751152185717196,11.214633504881723,0.22624000937535074,0.1726127873644265,25.5465055759702,0.3362811155416069,0.09603248192713851,19829.11764347198,85,-0.8640861035915164
|
| 19 |
-
43,mercado_base + estrutura_gleba + entorno_forma + zoneamento + localizacao_aprendida,5,26,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",24768.57366479435,58.84528343854406,1.5937217945224493,0.978003966713154,17.406451004674313,0.1869265014019678,0.24678031567104633,34.00616986920754,0.44425166870930755,0.19168352158417112,19351.150175292154,98,0.7531909081915331
|
| 20 |
-
55,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + localizacao_absoluta + localizacao_aprendida,6,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, x, y, tier_localizacao, indice_espacial_grid",26844.48892145829,57.4357624008116,1.625419184749298,0.9593631008351755,13.617922727187901,0.232784987808318,0.16247786259765623,29.327080441731844,0.43172628452257256,0.11902026243436555,21559.93213037248,117,-0.03329334199691661
|
| 21 |
-
16,mercado_base + localizacao_absoluta,2,6,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, x, y",28868.708746644505,69.36780585652225,1.6896965264986885,1.0116212619245468,14.049025084280713,0.23978582934016607,0.14504389855894026,21.08940455907642,0.2979208638887869,0.08626495848634609,25576.91671285352,122,0.09920206893433113
|
| 22 |
-
45,mercado_base + estrutura_gleba + acessibilidade + zoneamento + localizacao_aprendida,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",28972.488974977954,60.367902054229006,1.6700299682382513,0.9553128612084058,16.424076616150163,0.22830709635574434,0.20239668404136976,23.433994691965328,0.38375355984090376,0.13296520942337176,24477.15673328795,42,-1.4695850941749635
|
| 23 |
-
47,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + zoneamento + localizacao_aprendida,6,28,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",31460.413783846758,61.4630886809646,1.689351146568506,0.9657622476541546,17.459661070117374,0.23449599034033888,0.229607853723054,27.419144826791786,0.428344879490831,0.18002234719800125,26133.131282320293,85,-1.2498492193227722
|
| 24 |
-
8,mercado_base + zoneamento,2,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",32138.481825701645,67.17592553035274,1.7257717252031857,1.0699119149320373,13.291387053010249,0.287479350117896,0.12876758340511585,12.730057171384829,0.240677042560027,0.0929202873167055,29272.949056125446,204,-0.9786784856988404
|
| 25 |
-
24,mercado_base + zoneamento + localizacao_absoluta,3,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",32843.58533368175,67.65625278547165,1.7357658998275276,1.0271125629143052,11.279033481508336,0.25896976826358004,0.15789041981428695,18.516411679909123,0.29836805132472155,0.10657700206244387,29454.082573973436,106,-0.8504630905484541
|
| 26 |
-
0,mercado_base,1,4,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo",32934.31319657956,69.56263580308408,1.7497974586201845,1.027218956533087,17.071022413107467,0.2694147730874317,0.19537864606327118,6.151160905494734,0.12801804134076855,0.13588190056233768,30936.661192893356,317,-1.0875139287894566
|
| 27 |
-
51,mercado_base + estrutura_gleba + entorno_forma + localizacao_absoluta + localizacao_aprendida,5,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, x, y, tier_localizacao, indice_espacial_grid",32944.5999772231,60.87833058522139,1.704012706569653,0.9402642200979576,15.434854314150542,0.2662049985883725,0.19383149907170052,24.349452526150877,0.4159601837517148,0.15714169367802736,27730.066856266254,89,-0.5968600515826386
|
| 28 |
-
59,mercado_base + estrutura_gleba + entorno_forma + zoneamento + localizacao_absoluta + localizacao_aprendida,6,28,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",33904.808257974044,61.37489493992751,1.6880410871542888,0.9920242566025108,15.109790773230486,0.24858133835443508,0.2571782570817715,36.86121375248007,0.538927171651372,0.18280249537936216,26316.365491845983,115,0.1674694431785419
|
| 29 |
-
14,mercado_base + entorno_forma + acessibilidade + zoneamento,4,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",34258.52619415304,66.88978302096304,1.74517972281906,1.0046886450202521,9.88697478044603,0.28509845882058704,0.16004152884990677,17.57026801869795,0.29553779731332075,0.10910710269578126,30780.189446656615,71,-1.0521836298314047
|
| 30 |
-
61,mercado_base + estrutura_gleba + acessibilidade + zoneamento + localizacao_absoluta + localizacao_aprendida,6,24,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",34901.83273280229,63.010690603677,1.7210398486781746,0.9746224941626653,19.96118523026762,0.3020124187081544,0.19945420422530552,23.77703077356785,0.39325643292829543,0.15964819977651662,29850.821456518737,48,-0.10982126312029203
|
| 31 |
-
30,mercado_base + entorno_forma + acessibilidade + zoneamento + localizacao_absoluta,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",35723.746977491086,65.34576900885025,1.7627000572082894,0.9557603584508708,10.326768979595286,0.3002926655458614,0.13584473310493025,16.85479179435322,0.28930703446060024,0.08692559216717384,32273.341801838098,72,-1.1523738971503883
|
| 32 |
-
10,mercado_base + entorno_forma + zoneamento,3,18,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",35875.5141552809,69.02226223752865,1.7651979995546512,0.9807404053710018,11.462790447990082,0.2565403392486685,0.12798345994052507,26.540782874027585,0.3826192598367891,0.10879865480579612,31322.613978651516,163,-0.0149963763229371
|
| 33 |
-
12,mercado_base + acessibilidade + zoneamento,3,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA",36298.24290417607,70.56968367568697,1.772589371130037,1.0517275239140467,12.857015555904395,0.2644179601795989,0.1523663826034419,21.817219699259482,0.3465593271992822,0.11584441274488236,32230.855860128242,126,-0.41353741941168665
|
| 34 |
-
18,mercado_base + entorno_forma + localizacao_absoluta,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, x, y",36391.32463243319,69.82607193561937,1.7707304107292523,1.0289457888672406,12.57352643168827,0.2963618420551385,0.18166570451307032,19.556385848430704,0.281586501291387,0.11409701421000594,32980.03624294187,108,0.15115481932844094
|
| 35 |
-
63,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + zoneamento + localizacao_absoluta + localizacao_aprendida,7,30,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",36580.67040734749,61.82301023226566,1.7417935766348052,1.0252012351682493,13.808603167986949,0.24298070985772247,0.23468394897309383,30.74556961697745,0.5101455766187746,0.15636053093853566,29693.395408022643,132,-0.26725928823285006
|
| 36 |
-
41,mercado_base + estrutura_gleba + zoneamento + localizacao_aprendida,4,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",37018.42466334902,66.80238019762885,1.7390938060876535,0.8769858869504943,17.4457462575235,0.28576803346502155,0.10896227746823159,33.88692752933169,0.49488217864612793,0.1028085751986166,30296.625713365862,51,-1.1445409724943971
|
| 37 |
-
53,mercado_base + estrutura_gleba + acessibilidade + localizacao_absoluta + localizacao_aprendida,5,16,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, x, y, tier_localizacao, indice_espacial_grid",37812.885768158034,59.13869302925192,1.7497407846220467,1.0434903499344537,17.815839782007295,0.3304076503561677,0.2277811415373027,18.768963172146748,0.36841519425086217,0.163211104216338,33017.56894036669,111,-0.4049288479869043
|
| 38 |
-
20,mercado_base + acessibilidade + localizacao_absoluta,3,8,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, x, y",38249.61048688848,64.74572835885257,1.7718191487086763,1.0593450328862384,12.700823372256353,0.3296894201759394,0.19280180281664003,14.0702159157535,0.3183151026045369,0.1388940289131485,34232.60197410716,153,-0.5784583792379061
|
| 39 |
-
26,mercado_base + entorno_forma + zoneamento + localizacao_absoluta,4,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",38996.564216190614,66.9304931679031,1.80142808825062,1.0417865205050967,11.260125646807275,0.30368563646291724,0.12385338143617129,15.783920295484624,0.31493056027124244,0.06278101775872243,35245.73914338433,206,1.2157015208453745
|
| 40 |
-
4,mercado_base + acessibilidade,2,6,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park",39395.87833750364,71.53069723510546,1.8275355835983746,1.0427296627671143,15.100892666889848,0.24698586820445173,0.22167417188990984,15.508501312327544,0.26220976918154043,0.16711018079270884,36387.79753492143,143,-0.75805402454219
|
| 41 |
-
2,mercado_base + entorno_forma,2,10,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density",39919.09029647334,71.77186429265285,1.820146899391144,1.059207912552233,18.91800371682679,0.3034238845961833,0.1737463654874513,15.259124791905355,0.2269218171550668,0.10195680058748394,37032.0763857159,111,0.5268185210101652
|
| 42 |
-
28,mercado_base + acessibilidade + zoneamento + localizacao_absoluta,4,16,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y",40198.656337916604,68.7506026816882,1.8038407671583006,1.0047937846027022,13.709178439510557,0.31917391895417363,0.14974701685075475,18.13620883902714,0.33246499873468943,0.10364200493162766,36073.91318670922,86,-0.22696946197680493
|
| 43 |
-
39,mercado_base + estrutura_gleba + entorno_forma + acessibilidade + localizacao_aprendida,5,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, tier_localizacao, indice_espacial_grid",40519.20868501077,63.46118808479379,1.7776832490203234,1.0458147381895408,18.232958543134178,0.27324163646048405,0.31845423132442446,29.823630914376913,0.4943437219910568,0.2270805591764758,33682.811682977976,236,1.2439947884482012
|
| 44 |
-
49,mercado_base + estrutura_gleba + localizacao_absoluta + localizacao_aprendida,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, x, y, tier_localizacao, indice_espacial_grid",41536.14910983736,61.82310957439452,1.7868463226959528,1.0208345826039562,16.405477298573697,0.3505263165203068,0.23313083078171884,19.08907977407158,0.39397597127368644,0.16095131447194544,36255.27695608328,146,-0.677398987070058
|
| 45 |
-
6,mercado_base + entorno_forma + acessibilidade,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park",41801.369639902274,69.37946953095498,1.8505887430638412,1.0117557208848622,14.179683628126144,0.2779181563092613,0.1825453288135952,14.88914172931721,0.2599536620818136,0.0987996162859361,38743.70424553829,91,-0.9111111508040955
|
| 46 |
-
33,mercado_base + estrutura_gleba + localizacao_aprendida,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, tier_localizacao, indice_espacial_grid",42095.677668354554,64.51152274698893,1.780637385427859,0.9138154397494365,17.631647355238506,0.3436838410358348,0.20195985512709286,26.36250705648325,0.4607514926610985,0.1528971214575594,35687.25130659857,41,-1.4830823110729392
|
| 47 |
-
22,mercado_base + entorno_forma + acessibilidade + localizacao_absoluta,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, x, y",42252.9798914287,68.39918357507304,1.8032591158056883,0.9701522813989292,11.45353040762164,0.3648013080312424,0.12704411476332517,23.587772994146835,0.36488497889798954,0.078580219671653,37463.45964463695,274,-1.3449480466962158
|
| 48 |
-
35,mercado_base + estrutura_gleba + entorno_forma + localizacao_aprendida,4,18,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, tier_localizacao, indice_espacial_grid",42401.33006863813,65.68018684606761,1.7986710478117538,0.9679397057918278,19.420935967894092,0.27309758818502905,0.29905349193087627,29.82273957553772,0.5139818602796885,0.20604923168114048,35190.4105647541,83,0.24608795899705171
|
| 49 |
-
37,mercado_base + estrutura_gleba + acessibilidade + localizacao_aprendida,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park, tier_localizacao, indice_espacial_grid",42520.359210480034,64.99479067616961,1.8034467477226794,0.9966078812403595,18.50645299503633,0.3166143300358146,0.27192427542054326,24.192992864223914,0.4259940680036818,0.19413331243244902,36802.00262386192,59,-1.1448856532730636
|
| 50 |
-
58,mercado_base + entorno_forma + zoneamento + localizacao_absoluta + localizacao_aprendida,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",72347.83545931,75.56008696577508,2.0336872201429514,1.0874729047865195,15.929124561796142,0.4221852527734643,0.17480655060602338,36.44809797468271,0.6815503999864766,0.09163081595953544,60522.49620025509,66,0.6397391998359032
|
| 51 |
-
46,mercado_base + entorno_forma + acessibilidade + zoneamento + localizacao_aprendida,5,22,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",77258.6561174519,73.90038489314352,2.0709257969679022,1.1430287999654913,12.917990037445492,0.479020458928398,0.2800665809194488,26.028483845198576,0.5886200018773294,0.1921466613770892,67444.00070163395,105,0.1740544934446444
|
| 52 |
-
44,mercado_base + acessibilidade + zoneamento + localizacao_aprendida,4,16,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",79115.17089896454,72.1924325134178,2.1025841518509534,1.1973920077313864,14.411301304045145,0.47321426044993253,0.263774611157721,18.804605146864873,0.5244081752934873,0.19175835620076115,70796.44738762798,85,0.37233524776510624
|
| 53 |
-
56,mercado_base + zoneamento + localizacao_absoluta + localizacao_aprendida,4,16,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",79843.46390121274,73.77226313058115,2.0874096821747825,1.1408800238033878,18.18311783162256,0.5075110965896978,0.2968303661195815,22.608109676844265,0.5441027203152332,0.18746082855923196,70881.41302972601,58,0.6767867684074895
|
| 54 |
-
60,mercado_base + acessibilidade + zoneamento + localizacao_absoluta + localizacao_aprendida,5,18,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",80944.76774316741,73.76156680621673,2.0796830480874293,0.9645134577449574,13.907235972936038,0.5318247664560588,0.135477720204625,28.122035690261725,0.6247220694178505,0.07022467073736835,70144.62567552448,56,0.044170947153726325
|
| 55 |
-
62,mercado_base + entorno_forma + acessibilidade + zoneamento + localizacao_absoluta + localizacao_aprendida,6,24,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, x, y, tier_localizacao, indice_espacial_grid",82320.36104512999,76.07904377991895,2.067156513232857,1.0633523317792974,18.17221849524951,0.4656288063932903,0.17128983795609878,46.81335301569312,0.8315147285762818,0.08726662366786013,65681.69606091073,133,0.5924316503430163
|
| 56 |
-
52,mercado_base + acessibilidade + localizacao_absoluta + localizacao_aprendida,4,10,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, x, y, tier_localizacao, indice_espacial_grid",91141.85611388636,77.24783699334657,2.0854133819444,1.064868781394611,24.396787234965192,0.6475467165309899,0.2749488685735444,30.733682744032897,0.6657870946676746,0.17273010702796637,78486.4625529068,102,0.6629979356794007
|
| 57 |
-
42,mercado_base + entorno_forma + zoneamento + localizacao_aprendida,4,20,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",91378.93313890339,80.02775010931354,2.169357433255083,1.091460127757908,20.406013289857263,0.5014442707005629,0.2605115764212047,34.31579316713572,0.6737985769614863,0.14645223529585677,79269.19473036185,112,1.1258318655279054
|
| 58 |
-
48,mercado_base + localizacao_absoluta + localizacao_aprendida,3,8,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, x, y, tier_localizacao, indice_espacial_grid",97174.89594935197,75.29444490953549,2.1432246545504734,1.0815718691908769,20.686353770740535,0.5911838921956561,0.2923249558388303,34.59877053618713,0.7835107570735267,0.18248871345055478,81371.91528916058,199,0.5920681869888565
|
| 59 |
-
40,mercado_base + zoneamento + localizacao_aprendida,3,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, FINALIDADE, MZ, UEU, SUBUNIDADE, DENSIDADE, ATIVIDADE, INDICE, VOLUMETRIA, tier_localizacao, indice_espacial_grid",101569.67183274671,82.82113108969169,2.2027777042092653,1.1035049158736072,23.795144638195662,0.5978756746351468,0.326664129657492,32.991693708498666,0.6857530299283834,0.17084871733143983,88590.20386802444,71,1.396954839996692
|
| 60 |
-
54,mercado_base + entorno_forma + acessibilidade + localizacao_absoluta + localizacao_aprendida,5,16,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, x, y, tier_localizacao, indice_espacial_grid",109649.69551893267,79.51994339070319,2.2560202456689513,1.0779616196387196,26.52484824027966,0.66423409508069,0.24964773854450814,25.594818926542676,0.5871431297316464,0.1344791681142043,98939.47840811004,170,0.8292514072231312
|
| 61 |
-
50,mercado_base + entorno_forma + localizacao_absoluta + localizacao_aprendida,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, x, y, tier_localizacao, indice_espacial_grid",112824.28890321466,80.64188346750984,2.2475566970690166,1.084957001265338,26.61397442410194,0.6686761491888918,0.28600368274596794,34.046320094111735,0.7313529169191846,0.15187269161990397,98214.46490828623,127,0.5896134305920808
|
| 62 |
-
34,mercado_base + entorno_forma + localizacao_aprendida,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, tier_localizacao, indice_espacial_grid",115988.90741131637,90.19567326385884,2.2873217342043146,0.9599566373669853,28.04564404121686,0.647357147802363,0.20914987890345954,40.05827740708748,0.7251120795807161,0.1319693722325956,101684.8010687478,50,0.16255808332970823
|
| 63 |
-
36,mercado_base + acessibilidade + localizacao_aprendida,3,8,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, dist_to_main_road, dist_to_park, tier_localizacao, indice_espacial_grid",124466.64692854535,89.80783005631648,2.3232789022380262,1.0011736631108068,33.96493047911877,0.7244603812289128,0.2326243805066875,35.51937315090139,0.6548952209782087,0.15275008162687342,111679.95623949391,126,-0.1253880322088412
|
| 64 |
-
32,mercado_base + localizacao_aprendida,2,6,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, tier_localizacao, indice_espacial_grid",145766.962527426,92.38103349222689,2.4343552684188534,1.0671815172825185,36.45139502310179,0.7592128801709442,0.2832559331937115,35.84580791262461,0.7721419577933722,0.16559526220876392,129410.74387582912,84,-0.5917806741795301
|
| 65 |
-
38,mercado_base + entorno_forma + acessibilidade + localizacao_aprendida,4,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, area_simpson, taxa_ocupacao, bldg_density, avg_bldg_footprint, circularity, Dist_weighted_Density, dist_to_main_road, dist_to_park, tier_localizacao, indice_espacial_grid",147567.61866558227,91.71937724708906,2.4446463890672336,1.0511670081521758,32.66605786368023,0.7572916229055059,0.35175648715734764,38.637670791553795,0.7696240669153032,0.2420669652214509,131207.58600451768,150,-0.815244816524978
|
|
|
|
| 1 |
combo_id,active_blocks,n_blocks,n_features,selected_vars,selection_score,mean_cod,mean_prd,mean_mediana,std_cod,std_prd,std_mediana,mean_gap_cod,mean_gap_prd,mean_gap_mediana,mean_val_score,avg_best_iteration,best_reg_power
|
| 2 |
+
0,mercado_base + estrutura_gleba,2,10,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo",3141.5541925365715,63.87540950872711,1.552076182328794,1.0601096657750833,11.416089518700499,0.2566738437504661,0.14864193910573187,10.21046187028923,0.15864528545891085,0.09321234011149761,2011.8558300595869,230,0.616032368275539
|
| 3 |
+
2,mercado_base + estrutura_gleba + acessibilidade,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, dist_to_main_road, dist_to_park",3172.199761920488,65.15181987466093,1.5885792584737277,1.0638211228264927,11.792142408118844,0.16969356546942416,0.1073264476831469,20.18877221149438,0.21009313486355588,0.05884811062957178,1991.9053047508112,344,1.503773377584149
|
| 4 |
+
32,mercado_base + estrutura_gleba + interacoes_economicas,3,14,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, RH_x_log_AREA, IAPOND_x_log_AREA, RH_x_IAPOND, APP_x_log_AREA",3251.7330275338163,62.09578580348251,1.5599425275612608,1.0584081179842235,12.398181050360302,0.26482088534433257,0.13737690983637948,8.918236307006293,0.1683373982804006,0.08205855875152628,2084.1150982932727,317,0.7107341487864086
|
| 5 |
+
64,mercado_base + estrutura_gleba + segmentos_economicos,3,13,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, seg_rh_modelo, seg_rh_iapond_modelo, seg_hibrida_modelo",3407.8218117400966,67.63151692208928,1.6446067132146764,1.1236861616921243,12.992984011532355,0.20517293248587715,0.13097548464177577,9.358614347828336,0.13955839968643316,0.07927917752111716,2473.467405590185,182,1.653672619931052
|
| 6 |
+
8,mercado_base + estrutura_gleba + localizacao_absoluta,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, x, y",4694.495806930765,65.01190524382116,1.6597758820792035,1.0696985188535746,13.888462537240445,0.3290032035513245,0.1752931618919487,16.941234456800032,0.24796460855333055,0.12238530744837257,2922.0412563958507,582,0.766792683287514
|
| 7 |
+
16,mercado_base + estrutura_gleba + localizacao_aprendida,3,12,"FONTE, Ano_Dado, faixa_rh, faixa_area_modelo, RH, IAPOND, APP, Area_Total_Construivel, log_area_modelo, log_testada_modelo, tier_localizacao, indice_espacial_grid",8150.56914903451,82.73691223439508,1.862158732176657,1.0231988326409764,14.18264517278486,0.2803888824796946,0.142108115924732,36.41922064390017,0.5216860360336131,0.08360622214040084,4220.508790770361,745,0.6921420286453046
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artifacts_gleba_cadastro/gleba_segment_metrics.csv
ADDED
|
@@ -0,0 +1,34 @@
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|
| 1 |
+
segment_strategy,market_segment_area,n_holdout,COD_segment,PRD_segment,Mediana_segment,COD,PRD,Mediana,spearman_decil_ratio,slope_log_vunit_log_ratio,regressivity_flag,n_train,n_obs,pct_obs
|
| 2 |
+
A,S1,89,42.38520633951791,1.296417582728193,1.0345100698516345,42.38520633951791,1.296417582728193,1.0345100698516345,-0.8303030303030302,-0.30042837787614524,True,308,397,57.87172011661808
|
| 3 |
+
A,S2,54,47.54511277006759,1.1690076173685944,1.279486337590635,47.54511277006759,1.1690076173685944,1.279486337590635,-0.6,-0.12237368931592973,True,120,174,25.364431486880466
|
| 4 |
+
A,S3,40,61.14580515742623,1.85981042307143,0.9404792675950053,61.14580515742623,1.85981042307143,0.9404792675950053,-0.9393939393939393,-0.49544002471109727,True,75,115,16.76384839650146
|
| 5 |
+
B,S1,36,37.889935990776124,1.3166054598037282,1.0616359928447716,37.889935990776124,1.3166054598037282,1.0616359928447716,-0.709090909090909,-0.3567924612565826,True,188,224,32.6530612244898
|
| 6 |
+
B,S2,79,47.07415266872214,1.2580640079669083,1.096615149331315,47.07415266872214,1.2580640079669083,1.096615149331315,-0.7333333333333332,-0.22844810217737418,True,171,250,36.44314868804665
|
| 7 |
+
B,S3,34,79.17774266034148,1.9224204879101028,0.6990349650127049,79.17774266034148,1.9224204879101028,0.6990349650127049,-0.7454545454545454,-0.4477727274085016,True,83,117,17.05539358600583
|
| 8 |
+
B,S4,34,57.665269575530196,1.389800424095747,0.976390355371751,57.665269575530196,1.389800424095747,0.976390355371751,-0.709090909090909,-0.36537050149471256,True,61,95,13.848396501457726
|
| 9 |
+
C,S1,34,65.36800282758848,1.1803698075163733,1.0063377204854376,65.36800282758848,1.1803698075163733,1.0063377204854376,0.09090909090909088,-0.14604920429463805,True,139,173,25.21865889212828
|
| 10 |
+
C,S2,33,51.201408891768466,1.3739728143527659,1.1437156329928244,51.201408891768466,1.3739728143527659,1.1437156329928244,-0.7212121212121211,-0.3576456434561666,True,137,170,24.78134110787172
|
| 11 |
+
C,S3,60,93.2637848051099,2.087924999033943,1.1698860546782863,93.2637848051099,2.087924999033943,1.1698860546782863,-0.9272727272727272,-0.5517047387890887,True,113,173,25.21865889212828
|
| 12 |
+
C,S4,56,91.70480804545969,2.036372590736674,0.679667557051235,91.70480804545969,2.036372590736674,0.679667557051235,-0.9515151515151514,-0.41233541575790605,True,114,170,24.78134110787172
|
| 13 |
+
SEG_RH,S1,75,46.909517126684385,1.2010249403967037,1.2223816007370534,46.909517126684385,1.2010249403967037,1.2223816007370534,-0.24848484848484845,-0.03716615114552577,False,238,313,45.626822157434404
|
| 14 |
+
SEG_RH,S2,72,96.18471629241371,1.9396843905299008,1.1521597634029939,96.18471629241371,1.9396843905299008,1.1521597634029939,-0.9878787878787878,-0.7192856005250293,True,146,218,31.778425655976676
|
| 15 |
+
SEG_RH,S3,36,86.37741807189425,1.524894063740684,0.7060383699276602,86.37741807189425,1.524894063740684,0.7060383699276602,-0.9030303030303028,-0.9326321986147884,True,119,155,22.59475218658892
|
| 16 |
+
SEG_RH_IAPOND,S1,65,88.1731903094569,2.0466014809809074,1.76292172174989,88.1731903094569,2.0466014809809074,1.76292172174989,-0.9757575757575757,-0.43248531105202237,True,136,201,29.300291545189506
|
| 17 |
+
SEG_RH_IAPOND,S2,51,73.98284068322937,1.4227616330173265,0.845221789085821,73.98284068322937,1.4227616330173265,0.845221789085821,-0.8545454545454544,-0.7850660227776256,True,119,170,24.78134110787172
|
| 18 |
+
SEG_RH_IAPOND,S3,30,41.44328848558951,1.155590250585884,0.6606146522221698,41.44328848558951,1.155590250585884,0.6606146522221698,-0.8181818181818182,-1.2898765779235921,True,106,136,19.825072886297377
|
| 19 |
+
SEG_RH_IAPOND,S4,37,62.16762333865363,2.308573491439051,0.9073486126858644,62.16762333865363,2.308573491439051,0.9073486126858644,-0.9636363636363635,-0.9367563127767591,True,142,179,26.0932944606414
|
| 20 |
+
SEG_TREE,S1,28,39.0576600416625,1.3564955223425992,1.2971221281844898,39.0576600416625,1.3564955223425992,1.2971221281844898,-0.8303030303030302,-0.7125564078861878,True,91,119,17.346938775510203
|
| 21 |
+
SEG_TREE,S2,72,103.21316577413798,1.7796719930077605,1.0686300231713943,103.21316577413798,1.7796719930077605,1.0686300231713943,-0.9393939393939393,-0.5898590101544912,True,153,225,32.798833819241985
|
| 22 |
+
SEG_TREE,S3,61,68.88470989043127,1.4048379773200448,0.9641726988558863,68.88470989043127,1.4048379773200448,0.9641726988558863,-0.9393939393939393,-0.8868761051020115,True,178,239,34.839650145772595
|
| 23 |
+
SEG_TREE,S4,22,68.47980778375212,1.4896817268567502,0.6800813523493981,68.47980778375212,1.4896817268567502,0.6800813523493981,-0.9272727272727272,-0.8792661502291224,True,81,103,15.01457725947522
|
| 24 |
+
SEG_HIBRIDA,S1,71,54.82694552596482,1.3989513949763508,1.0699117923675956,54.82694552596482,1.3989513949763508,1.0699117923675956,-0.4424242424242424,-0.21740687303074188,True,136,207,30.174927113702623
|
| 25 |
+
SEG_HIBRIDA,S2,51,55.611067170407594,1.3481408427196893,1.019721791550242,55.611067170407594,1.3481408427196893,1.019721791550242,-0.8060606060606059,-0.6879377679217185,True,119,170,24.78134110787172
|
| 26 |
+
SEG_HIBRIDA,S3,30,30.905618102681586,1.1267172908662164,1.0150322846052036,30.905618102681586,1.1267172908662164,1.0150322846052036,-0.9636363636363635,-1.0318680878783089,True,106,136,19.825072886297377
|
| 27 |
+
SEG_HIBRIDA,S4,19,57.33475309251893,1.305199404803104,0.9228296327784823,57.33475309251893,1.305199404803104,0.9228296327784823,-0.8666666666666665,-0.9230891682474728,True,70,89,12.973760932944606
|
| 28 |
+
SEG_HIBRIDA,S5,12,21.824482005435794,1.1192618212594763,1.5372349296836334,21.824482005435794,1.1192618212594763,1.5372349296836334,-0.8303030303030302,-0.9962486227679643,True,72,84,12.244897959183673
|
| 29 |
+
SEG_ZONA,S1,49,72.67923657708843,2.137803115491984,1.2489395827650238,72.67923657708843,2.137803115491984,1.2489395827650238,-0.9878787878787878,-0.4920253153678501,True,100,149,21.720116618075803
|
| 30 |
+
SEG_ZONA,S2,45,92.59746649162378,2.069975931468595,0.618312808700506,92.59746649162378,2.069975931468595,0.618312808700506,-0.9151515151515152,-0.3790198449386992,True,95,140,20.408163265306122
|
| 31 |
+
SEG_ZONA,S3,89,39.696894014452994,1.2920769989546559,1.1000430214963817,39.696894014452994,1.2920769989546559,1.1000430214963817,-0.8181818181818182,-0.2821935138187729,True,308,397,57.87172011661808
|
| 32 |
+
SEG_ZONA_RH_IAPOND,S1,124,55.179376732317394,1.3622453305332343,1.0462106298802754,55.179376732317394,1.3622453305332343,1.0462106298802754,-0.6727272727272726,-0.1915140938628837,True,351,475,69.24198250728863
|
| 33 |
+
SEG_ZONA_RH_IAPOND,S2,29,23.562797803390914,1.0719607919656517,1.010539051648806,23.562797803390914,1.0719607919656517,1.010539051648806,-0.9393939393939393,-0.7603850386066285,True,80,109,15.889212827988338
|
| 34 |
+
SEG_ZONA_RH_IAPOND,S3,30,56.46769486938991,1.4151908987978394,1.0416216909949054,56.46769486938991,1.4151908987978394,1.0416216909949054,-0.9878787878787878,-0.7949847471518141,True,72,102,14.868804664723031
|
artifacts_gleba_cadastro/gleba_segment_predictions_holdout.csv
ADDED
|
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|
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artifacts_gleba_cadastro/gleba_segment_predictions_oof.csv
ADDED
|
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|
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artifacts_gleba_cadastro/gleba_segment_surface.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:c4f57e170d1255ae7f7ef5c415d089be4f49dec4b01f96fc6967f91d3a1e56a3
|
| 3 |
+
size 2138
|
artifacts_gleba_cadastro/gleba_surface_global.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
size 2024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:58e3914eaf6d4d5ba2624d1058489a48247a5a72bc41c39dca3cef337c4f438f
|
| 3 |
size 2024
|
artifacts_gleba_cadastro/gleba_tempo_index.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4077
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de041385aa5b1f05d746f02cbbd0c47fb3429077cafa4334caae2eac8344f18f
|
| 3 |
size 4077
|
artifacts_gleba_cadastro/gleba_tier_map.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"ABERTA DOS MORR": "localizacao_media_baixa",
|
| 3 |
"ANCHIETA ": "localizacao_alta",
|
| 4 |
"ARQUIPELAGO ": "localizacao_media_alta",
|
| 5 |
"BELEM NOVO ": "localizacao_baixa",
|
|
@@ -18,10 +17,11 @@
|
|
| 18 |
"LAMI ": "localizacao_baixa",
|
| 19 |
"LOMBA PINHEIRO ": "localizacao_media_baixa",
|
| 20 |
"MARIO QUINTANA ": "localizacao_media_baixa",
|
|
|
|
| 21 |
"PONTA GROSSA ": "localizacao_baixa",
|
| 22 |
"RESTINGA ": "localizacao_media_baixa",
|
| 23 |
"SANTA TEREZA ": "localizacao_media_alta",
|
| 24 |
"SARANDI ": "localizacao_alta",
|
| 25 |
"TRISTEZA ": "localizacao_alta",
|
| 26 |
-
"VILA NOVA ": "
|
| 27 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"ANCHIETA ": "localizacao_alta",
|
| 3 |
"ARQUIPELAGO ": "localizacao_media_alta",
|
| 4 |
"BELEM NOVO ": "localizacao_baixa",
|
|
|
|
| 17 |
"LAMI ": "localizacao_baixa",
|
| 18 |
"LOMBA PINHEIRO ": "localizacao_media_baixa",
|
| 19 |
"MARIO QUINTANA ": "localizacao_media_baixa",
|
| 20 |
+
"NONOAI ": "localizacao_media_alta",
|
| 21 |
"PONTA GROSSA ": "localizacao_baixa",
|
| 22 |
"RESTINGA ": "localizacao_media_baixa",
|
| 23 |
"SANTA TEREZA ": "localizacao_media_alta",
|
| 24 |
"SARANDI ": "localizacao_alta",
|
| 25 |
"TRISTEZA ": "localizacao_alta",
|
| 26 |
+
"VILA NOVA ": "localizacao_media_baixa"
|
| 27 |
}
|
artifacts_gleba_cadastro/gleba_xgb_model.json
CHANGED
|
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|
|
artifacts_gleba_cadastro/gleba_zone_approach_predictions_holdout.csv
ADDED
|
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|
|
artifacts_gleba_cadastro/gleba_zone_approach_segment_metrics.csv
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
zona,n_holdout,COD_segment,PRD_segment,Mediana_segment,MAPE_VUNIT_segment,approach_id
|
| 2 |
+
10000_25000,49,44.47894328320354,1.1317774861945764,1.3524918975775473,64.42988992434586,gleba_vunit_global_zone_feature
|
| 3 |
+
25000+,45,66.37788174997793,1.8729184383425754,0.8418444581809363,56.97024534134629,gleba_vunit_global_zone_feature
|
| 4 |
+
3000_10000,89,42.38520633951791,1.296417582728193,1.0345100698516345,44.023711889342366,gleba_vunit_global_zone_feature
|
| 5 |
+
10000_25000,49,61.429117778305454,1.3197590548998324,1.0878570808179906,67.17544618729738,gleba_vunit_global_zone_interactions
|
| 6 |
+
25000+,45,53.892650894207975,1.6997504168840014,0.8289468248354587,47.00936106210492,gleba_vunit_global_zone_interactions
|
| 7 |
+
3000_10000,89,43.27133168140117,1.314625775557232,1.0225257297311656,44.29152345655197,gleba_vunit_global_zone_interactions
|
| 8 |
+
10000_25000,49,62.513981872912744,1.3239771193213812,1.079517627347155,67.69220018226723,gleba_vunit_hybrid_b_zone_market_single
|
| 9 |
+
25000+,45,49.95789403477482,1.7592149957666425,0.9540922467021242,48.13150546569246,gleba_vunit_hybrid_b_zone_market_single
|
| 10 |
+
3000_10000,89,44.519121686446,1.3282351875714289,1.0176545916979167,45.348450992424524,gleba_vunit_hybrid_b_zone_market_single
|
artifacts_gleba_cadastro/gleba_zone_audit.csv
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
zona,n_total,n_treino,n_holdout,mediana_VUNIT,RH_min,RH_max,IAPOND_min,IAPOND_max
|
| 2 |
+
3000_10000,388,299,89,613.4543051093765,4,350,0.1,2.4
|
| 3 |
+
10000_25000,149,100,49,214.505188706591,4,280,0.1,1.9
|
| 4 |
+
25000+,140,95,45,57.840875519176905,4,70,0.1,1.56
|
| 5 |
+
até_3000,9,9,0,108.333333333333,7,26,0.2,1.3
|
artifacts_gleba_cadastro/gleba_zone_audit_report.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Auditoria da variável locacional de zonas - GLEBA
|
| 2 |
+
|
| 3 |
+
## Coluna selecionada
|
| 4 |
+
faixa_area_modelo
|
| 5 |
+
|
| 6 |
+
## Cobertura por zona na amostra de GLEBAS
|
| 7 |
+
| zona | n_total | n_treino | n_holdout | mediana_VUNIT | RH_min | RH_max | IAPOND_min | IAPOND_max |
|
| 8 |
+
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
| 9 |
+
| 3000_10000 | 388 | 299 | 89 | 613.4543051093765 | 4 | 350 | 0.1 | 2.4 |
|
| 10 |
+
| 10000_25000 | 149 | 100 | 49 | 214.505188706591 | 4 | 280 | 0.1 | 1.9 |
|
| 11 |
+
| 25000+ | 140 | 95 | 45 | 57.840875519176905 | 4 | 70 | 0.1 | 1.56 |
|
| 12 |
+
| até_3000 | 9 | 9 | 0 | 108.333333333333 | 7 | 26 | 0.2 | 1.3 |
|
| 13 |
+
|
| 14 |
+
## Candidatas avaliadas
|
| 15 |
+
| column | name_score | dtype | nunique | missing_pct | score | accepted | reason | top_values | selected |
|
| 16 |
+
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
| 17 |
+
| faixa_area_modelo | 20 | category | 4 | 0.0 | 86.0 | True | candidata aceita | {"3000_10000": 388, "10000_25000": 149, "25000+": 140, "até_3000": 9} | True |
|
| 18 |
+
| log_area_modelo | 20 | float64 | 431 | 0.0 | 50.0 | False | cardinalidade alta demais (431 > 80) | {"8.006700845440367": 9, "9.90353755128617": 9, "8.294299608857235": 8, "8.459775920546287": 7, "11.002116507732017": 7, "9.489713016556824": 6} | False |
|
| 19 |
+
| log_testada_modelo | 20 | float64 | 316 | 0.0 | 50.0 | False | cardinalidade alta demais (316 > 80) | {"3.044522437723423": 25, "3.713572066704308": 20, "4.61512051684126": 20, "3.9318256327243257": 18, "3.1354942159291497": 16, "4.110873864173311": 13} | False |
|
| 20 |
+
|
| 21 |
+
Observação metodológica: a seleção usa apenas nome, cobertura e cardinalidade da coluna existente. VUNIT/VTOTAL não entram na criação da segmentação; a mediana de VUNIT aparece apenas como estatística de auditoria.
|
artifacts_gleba_cadastro/gleba_zone_column_candidates.csv
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
column,name_score,dtype,nunique,missing_pct,score,accepted,reason,top_values,selected
|
| 2 |
+
faixa_area_modelo,20,category,4,0.0,86.0,True,candidata aceita,"{""3000_10000"": 388, ""10000_25000"": 149, ""25000+"": 140, ""até_3000"": 9}",True
|
| 3 |
+
log_area_modelo,20,float64,431,0.0,50.0,False,cardinalidade alta demais (431 > 80),"{""8.006700845440367"": 9, ""9.90353755128617"": 9, ""8.294299608857235"": 8, ""8.459775920546287"": 7, ""11.002116507732017"": 7, ""9.489713016556824"": 6}",False
|
| 4 |
+
log_testada_modelo,20,float64,316,0.0,50.0,False,cardinalidade alta demais (316 > 80),"{""3.044522437723423"": 25, ""3.713572066704308"": 20, ""4.61512051684126"": 20, ""3.9318256327243257"": 18, ""3.1354942159291497"": 16, ""4.110873864173311"": 13}",False
|
artifacts_gleba_cadastro/metadata_gleba_vunit.json
ADDED
|
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|
|
|
artifacts_gleba_cadastro/predictions_holdout_gleba_vunit.csv
ADDED
|
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|
|
|
artifacts_gleba_cadastro/predictions_oof_gleba_vunit.csv
ADDED
|
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|
|