How to avoid warning: UndefinedMetricWarning:

Question

I'm getting a warning, see below, on upon running the code. However, the result will print the accuracy1, precision1, and recall1. How to avoid the warning? I'm using python 2.7.

warning : 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]))

Arvind Kumar Arvind Kumar · Accepted Answer · 2020-10-22T04:53:23

0

votes

You can do it as:

import warnings
warnings.filterwarnings("ignore")

How to avoid warning: UndefinedMetricWarning:

2 Answers