Update app.py

app.py

@@ -29,7 +29,7 @@ model1= model1.fit(X_train, y_train)
 model2 =GradientBoostingRegressor(learning_rate=0.007, max_depth=2,n_estimators=1650, random_state=100,min_samples_split=9,max_features= 'log2')
 model2= model2.fit(X_train, y_train)
 model3 =RandomForestRegressor(n_estimators= 1000,min_samples_split= 11, min_samples_leaf= 1,
-                                max_features= 1.0,max_depth= 6,bootstrap= True,random_state=100)
+                                max_features= None,max_depth= 6,bootstrap= True,random_state=100)
 model3= model3.fit(X_train, y_train)
 level1 = list()
 level1.append(('ET', model1))