Add local config a finish report_score

report_score.py

@@ -1,6 +1,7 @@
 import argparse
 import random
 import time
+import warnings
 from datetime import datetime
 import json
 import numpy as np
@@ -132,8 +133,9 @@ def process_dataset(dataset, verbose, model, params):
         np.random.seed(random_state)
         kfold = KFold(shuffle=True, random_state=random_state, n_splits=5)
         clf = get_classifier(model, random_state, hyperparameters)
-        print(hyperparameters)
-        res = cross_validate(clf, X, y, cv=kfold, return_estimator=True)
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore")
+            res = cross_validate(clf, X, y, cv=kfold, return_estimator=True)
         scores.append(res["test_score"])
         times.append(res["fit_time"])
         for result_item in res["estimator"]: