ROC curve plot - Cacher Snippet

9/11/2017 - 10:23 PM

ROC curve plot

ROC curve plot

new_gist_file.py

y_pred_prob =model.predict_proba(X_testsc)[:, 1]
fpr, tpr, thresholds = metrics.roc_curve(y_test, y_pred_prob)
plt.plot(fpr, tpr)
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.0])
plt.title('ROC curve for testset1')
plt.xlabel('False Positive Rate (1 - Specificity)')
plt.ylabel('True Positive Rate (Sensitivity)')
plt.grid(True)