我想绘制一个混淆矩阵来显示分类器的性能,但它只显示标签的数量,而不是标签本身:
from sklearn.metrics import confusion_matrix
import pylab as pl
y_test=['business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business', 'business']
pred=array(['health', 'business', 'business', 'business', 'business',
'business', 'health', 'health', 'business', 'business', 'business',
'business', 'business', 'business', 'business', 'business',
'health', 'health', 'business', 'health'],
dtype='|S8')
cm = confusion_matrix(y_test, pred)
pl.matshow(cm)
pl.title('Confusion matrix of the classifier')
pl.colorbar()
pl.show()
如何将标签(health,business..etc)添加到混淆矩阵中？