updated tuning grid of dt in classification.py and regression.py

pycaret/classification.py

@@ -4358,7 +4358,7 @@ def tune_model(estimator = None,
             param_grid = custom_grid
         else:
             param_grid = {"max_depth": np.random.randint(1, (len(X_train.columns)*.85),20),
-                    "max_features": np.random.randint(3, len(X_train.columns),20),
+                    "max_features": np.random.randint(1, len(X_train.columns),20),
                     "min_samples_leaf": [2,3,4,5,6],
                     "criterion": ["gini", "entropy"],
                         }

pycaret/regression.py

@@ -4802,7 +4802,7 @@ def tune_model(estimator,
         else:
 
             param_grid = {"max_depth": np.random.randint(1, (len(X_train.columns)*.85),20),
-                        "max_features": np.random.randint(3, len(X_train.columns),20),
+                        "max_features": np.random.randint(1, len(X_train.columns),20),
                         "min_samples_leaf": [2,3,4,5,6],
                         "criterion": ["mse", "mae", "friedman_mse"],
                         }