confusion matrix 混淆矩阵绘制

原理

横轴一般是predict label，纵轴是ground truth label，对角线是预测正确的概率或个数

绘制

sklearn 中confusion_matrix函数的使用：
sklearn.metrics.confusion_matrix(y_true, y_pred, labels=None, sample_weight=None)
输入就是类别序号，不能是onehotlabel，如果是onehot label 用y_pred = np.argmax(y_pred,axis= -1)+1 转换
y_true : array, shape = [n_samples] Ground truth (correct) target values.
y_pred : array, shape = [n_samples] Estimated targets as returned by a classifier.

from sklearn.metrics import confusion_matrix
y_true=[2,1,0,1,2,0]
y_pred=[2,0,0,1,2,1]
C=confusion_matrix(y_true, y_pred)  

纵轴是y_true, 横轴是y_pred

一　、带有acc的confusion matrix

#label参数`
label