mrtushartiwari/listofmodels.csv

## listofmodels.csv

          
            Model used
             MAE

            
              Linear model Ridge with alpha (0.01)
              1282.15

            
              Linear model Lasso  with alpha (0.01)
               1342.75

            
              Decision Tree Regressor with (max_depth= 12  max_features= n_features  min_samples_leaf= 27)
              1272.19

            
              Ada Boost Regressor with (n_estimators=100  learning_rate=0.0001)
               1342.750

            
              RandomForest Regressor with n_estimators=150  max_features = 100  max_depth = 11
               1342.750

            
              Custom Ensemble model with number of base estimator = 100 
               1209.61
	Model used	MAE
	Linear model Ridge with alpha (0.01)	1282.15
	Linear model Lasso with alpha (0.01)	1342.75
	Decision Tree Regressor with (max_depth= 12 max_features= n_features min_samples_leaf= 27)	1272.19
	Ada Boost Regressor with (n_estimators=100 learning_rate=0.0001)	1342.750
	RandomForest Regressor with n_estimators=150 max_features = 100 max_depth = 11	1342.750
	Custom Ensemble model with number of base estimator = 100	1209.61