Summarize the Confusion Matrix
One of the evaluation indexes in the classification.
| Predicted Negative | Predicted Positive | |
|---|---|---|
| Actual Negative | True Negative | False Positive |
| Actual Positive | False Negative | True Positive |
Precision = TP / (TP + FP) Recall = TP / (TP + FN)
from sklearn.metrics import confusion_matrix
cm = confusion_matrix(y_test, y_pred)
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