Comments (2)
这个报错来自AUC指标,当输入的labels全是0或者全是1的时候,就会报这个错误。
>>> from sklearn.metrics import roc_auc_score
>>> roc_auc_score([0,0,0], [0.1, 0.1, 0.2])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_ranking.py", line 572, in roc_auc_score
return _average_binary_score(
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_base.py", line 75, in _average_binary_score
return binary_metric(y_true, y_score, sample_weight=sample_weight)
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_ranking.py", line 339, in _binary_roc_auc_score
raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.
>>> roc_auc_score([1,1,1], [0.1, 0.1, 0.2])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_ranking.py", line 572, in roc_auc_score
return _average_binary_score(
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_base.py", line 75, in _average_binary_score
return binary_metric(y_true, y_score, sample_weight=sample_weight)
File "/home/haoyang/anaconda3/envs/python38/lib/python3.8/site-packages/sklearn/metrics/_ranking.py", line 339, in _binary_roc_auc_score
raise ValueError(
ValueError: Only one class present in y_true. ROC AUC score is not defined in that case.
>>> roc_auc_score([1,0,1], [0.1, 0.1, 0.2])
0.75
不过我一时想不到很好的解决办法,你可以简单地加个try except来捕捉它。
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好的。谢谢~
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