I am trying to plot a ROC curve to evaluate the accuracy of a prediction model I developed in Python using logistic regression packages. I have computed the true positive ra
The previous answers assume that you indeed calculated TP/Sens yourself. It's a bad idea to do this manually, it's easy to make mistakes with the calculations, rather use a library function for all of this.
the plot_roc function in scikit_lean does exactly what you need: http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
The essential part of the code is:
for i in range(n_classes):
fpr[i], tpr[i], _ = roc_curve(y_test[:, i], y_score[:, i])
roc_auc[i] = auc(fpr[i], tpr[i])