ValueError:混淆矩阵不支持multilabel-indicator [英] ValueError: multilabel-indicator is not supported for confusion matrix
本文介绍了ValueError:混淆矩阵不支持multilabel-indicator的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
在我的二进制分类问题中尝试使用混淆矩阵时遇到此错误. Y
和Yhat
都是numpy
数组.我已尝试使用.argmax
作为建议的解决方案-我不再收到错误,但输出不是我所知道的混淆矩阵.
I am encountering this error when trying to use the confusion matrix in my binary classification problem. Y
and Yhat
are both numpy
arrays. I have tried the .argmax
as the proposed solution - I don't get the error anymore but the output is not the confusion matrix that I know.
Accuracy: 0.9982449999999999
Accuracy: 0.9983374013937532
shape of y = (1, 200000)
shape of yhat = (1, 200000)
错误
ValueError Traceback (most recent call last) <ipython-input-13-ebb660b4585a> in <module>()
12 print("shape of yhat = ", yhat.shape)
13
---> 14 cm = confusion_matrix(y,yhat)
15
16 print("confusion matrix = ", cm)
/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py in confusion_matrix(y_true, y_pred, labels, sample_weight)
250 y_type, y_true, y_pred = _check_targets(y_true, y_pred)
251 if y_type not in ("binary", "multiclass"):
--> 252 raise ValueError("%s is not supported" % y_type)
253
254 if labels is None:
ValueError: multilabel-indicator is not supported
推荐答案
按如下所示添加代码
cm = confusion_matrix(y.argmax(axis=1),yhat.argmax(axis=1))
在此处之前
这篇关于ValueError:混淆矩阵不支持multilabel-indicator的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文