python机器学习 二分类 混淆矩阵_机器学习：混淆矩阵中的错误获取

在运行随机森林回归模型时，我在运行混淆矩阵时出错。该模型能够预测y_pred，但我无法检查准确性，因为我无法运行精度矩阵。在

数据类型：type(y_test)

Out[124]: numpy.ndarray

type(y_pred)

Out[125]: numpy.ndarray

以下是我的混淆矩阵代码：

^{pr2}$

错误：confusion_matrix(y_test, y_pred)

Traceback (most recent call last):

File "", line 1, in

confusion_matrix(y_test, y_pred)

File "/Users/srikantswamy/anaconda3/lib/python3.6/site-packages/sklearn /metrics/classification.py", line 253, in confusion_matrix

y_type, y_true, y_pred = _check_targets(y_true, y_pred)

File "/Users/srikantswamy/anaconda3/lib/python3.6/site-packages/sklearn /metrics/classification.py", line 88, in _check_targets

raise ValueError("{0} is not supported".format(y_type))

ValueError: continuous is not supported