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rachitgoyell
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vayu-models

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air-quality
aqi
xgboost
forecasting
classification
shap
india
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  1. classifier/classifier_metadata.json +44 -0
  2. classifier/xgb_classifier.pkl +3 -0
  3. encoders/city_encoder.pkl +3 -0
  4. encoders/features.pkl +3 -0
  5. forecaster/xgb_12h.pkl +3 -0
  6. forecaster/xgb_24h.pkl +3 -0
  7. forecaster/xgb_6h.pkl +3 -0
  8. shap/nmf_model.pkl +3 -0
  9. shap/nmf_scaler.pkl +3 -0
  10. shap/shap_explainer_12h.pkl +3 -0
  11. shap/shap_explainer_24h.pkl +3 -0
  12. shap/shap_explainer_6h.pkl +3 -0
classifier/classifier_metadata.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "best_model": "RandomForest",
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+ "best_accuracy": 0.8021,
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+ "best_f1_weighted": 0.8021,
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+ "rf_accuracy": 0.8021,
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+ "rf_f1_weighted": 0.8021,
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+ "xgb_accuracy": 0.7323,
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+ "xgb_f1_weighted": 0.7365,
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+ "features": [
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+ "pm2_5_ugm3",
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+ "pm10_ugm3",
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+ "co_ugm3",
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+ "no2_ugm3",
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+ "so2_ugm3",
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+ "o3_ugm3",
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+ "month",
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+ "hour"
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+ ],
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+ "target_int": "aqi_category_enc",
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+ "target_str": "aqi_category",
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+ "categories": [
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+ "Good",
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+ "Satisfactory",
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+ "Moderate",
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+ "Poor",
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+ "Very Poor",
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+ "Severe"
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+ ],
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+ "int_to_category": {
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+ "0": "Good",
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+ "1": "Satisfactory",
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+ "2": "Moderate",
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+ "3": "Poor",
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+ "4": "Very Poor",
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+ "5": "Severe"
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+ },
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+ "classes_present": [
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+ 0,
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+ 2,
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+ 3,
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+ 4,
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+ 5
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+ ]
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+ }
classifier/xgb_classifier.pkl ADDED
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encoders/city_encoder.pkl ADDED
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encoders/features.pkl ADDED
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forecaster/xgb_12h.pkl ADDED
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forecaster/xgb_24h.pkl ADDED
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forecaster/xgb_6h.pkl ADDED
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shap/nmf_model.pkl ADDED
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shap/nmf_scaler.pkl ADDED
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shap/shap_explainer_12h.pkl ADDED
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shap/shap_explainer_24h.pkl ADDED
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shap/shap_explainer_6h.pkl ADDED
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