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]))
import warnings
warnings.simplefilter('ignore')
上述模块导入解决了我的问题。
您可以这样做:
import warnings
warnings.filterwarnings("ignore")