Confusion_matrix ValueError：分类指标无法处理二进制和连续多输出目标的混合

Question

can anyone fix undersampling confusion matrix error from the line: undersample_cm = confusion_matrix(original_ytest, undersample_fraud_predictions) I think the problem is from the import or original_ytest and undersample_fraud_predictions

undersample_cm = confusion_matrix(original_ytest, undersample_fraud_predictions)
actual_cm = confusion_matrix(original_ytest, original_ytest)
labels = ['No Fraud', 'Fraud']

The picture of the error here

Answer 1

confusion_matrix works with two arrays of same size, same type of data.

y_true = [1, 0, 0, 1, 0, 1]
y_pred = [0, 0, 0, 0, 0, 1]
confusion_matrix(y_true, y_pred)

I guess there is a continuous variable in any of your arrays. For this, if you run the actual_cm line first, you can see which array is the problem. One of your arrays, namely original_ytest, contains integer values as it should, but you're probably getting an error because it contains continuous values in the undersample_fraud_predictions array.

original_ytest = [1, 0, 0, 1, 0, 1]
undersample_fraud_predictions = [1, 0, 0, 0, 0, 1.5]
confusion_matrix(original_ytest , undersample_fraud_predictions )

When you run the code I want to explain above, the error you get will be the same (Classification metrics can't handle a mix of binary and continuous targets).