Confusion matrix in linear regression

Question

I have actual values and predicted values.

Actual: 33.3663, 38.2561, 28.6362, 35.6252

Predicted: 28.9721, 35.6161, 27.9561, 22.6272

I want to apply confusion matrix to find the accuracy.

Answer 1

Solution

First thing, confusion matrix is not for continuous values. AND you can also use it by converting continuous values to classes. check https://datascience.stackexchange.com/questions/46019/continuous-variable-not-supported-in-confusion-matrix

from sklearn.metrics import confusion_matrix
 
expected = [1, 1, 0, 1, 0, 0, 1, 0, 0, 0]
predicted = [1, 0, 0, 1, 0, 0, 1, 1, 1, 0]
results = confusion_matrix(expected, predicted)
print(results)

Output

[[4 2]
 [1 3]]

Reference

https://machinelearningmastery.com/confusion-matrix-machine-learning/