Update app.py

app.py

@@ -105,7 +105,7 @@ y1_lgb_params = {'objective': 'binary', 'boosting_type': 'gbdt', 'lambda_l1': 0.
 
 y1_cb_params = {'objective': 'Logloss', 'colsample_bylevel': 0.08511055529750637, 'depth': 12, 'boosting_type': 'Plain', 'bootstrap_type': 'Bayesian', 'bagging_temperature': 3.571269095878882}
 
-y1_rf_params = {'criterion': 'entropy', 'bootstrap': 'auto', 'max_features': 'sqrt', 'max_depth': 90, 'n_estimators': 900, 'min_samples_leaf': 1, 'min_samples_split': 2}
+y1_rf_params = {'criterion': 'entropy', 'max_features': 'sqrt', 'max_depth': 90, 'n_estimators': 900, 'min_samples_leaf': 1, 'min_samples_split': 2}
 
 
 #Modeling for y1/AE.