如何避免警告:UndefinedMetricWarning:[重复]

问题描述 投票:0回答:2

运行代码时,我收到以下警告。 但是,结果将打印准确度 1、精度 1 和召回率 1。如何避免警告?

警告

UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no 
predicted samples. 'precision', 'predicted', average, warn_for)
acc = []
pre = []
recall = []
 for i in range(iters):
     features_train, features_test, labels_train, labels_test = \
     train_test_split(features, labels, test_size = 0.3, random_state = i)
     grid_search.fit(features_train, labels_train)
     predicts = grid_search.predict(features_test)

     acc = acc + [accuracy_score(labels_test, predicts)]
     pre = pre + [precision_score(labels_test, predicts)]
     recall = recall + [recall_score(labels_test, predicts)]
     print "accuracy1: {}".format(np.mean(acc))
     print "precision1: {}".format(np.mean(pre))
     print "recall1: {}".format(np.mean(recall))
     best_params = grid_search.best_estimator_.get_params()
     for param_name in params.keys():
     print("%s = %r, " % (param_name, best_params[param_name]))
python python-2.7 scikit-learn
2个回答
1
投票
import warnings
warnings.simplefilter('ignore')

上述模块导入解决了我的问题。


0
投票

您可以这样做:

import warnings
warnings.filterwarnings("ignore")
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