Created
October 25, 2020 19:33
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| from sklearn.metrics import confusion_matrix | |
| lr_cm = confusion_matrix(y_test, lr_y_pred) | |
| plt.figure(figsize=(10,7)) | |
| sns.heatmap(data=nb_cm, annot=True, cmap="Blues", xticklabels=['Real', 'Fake'], yticklabels=['Real', 'Fake']) | |
| plt.xlabel('Predicted values') | |
| plt.ylabel('Actual values') | |
| plt.title('Confusion Matrix for Logistic Regression Algorithm') | |
| plt.show() |
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