[英]Confusion matrix in linear regression
I have actual values and predicted values.我有实际值和预测值。
Actual: 33.3663, 38.2561, 28.6362, 35.6252实际:33.3663、38.2561、28.6362、35.6252
Predicted: 28.9721, 35.6161, 27.9561, 22.6272预测:28.9721、35.6161、27.9561、22.6272
I want to apply confusion matrix to find the accuracy.我想应用混淆矩阵来找到准确性。
First thing, confusion matrix is not for continuous values.首先,混淆矩阵不适用于连续值。 AND you can also use it by converting continuous values to classes.并且您还可以通过将连续值转换为类来使用它。 check https://datascience.stackexchange.com/questions/46019/continuous-variable-not-supported-in-confusion-matrix检查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)
[[4 2]
[1 3]]
https://machinelearningmastery.com/confusion-matrix-machine-learning/ https://machinelearningmastery.com/confusion-matrix-machine-learning/
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