Here are two ways you may try, assuming your model is an sklearn predictor: import sklearn.metrics as metrics # calculate the fpr and tpr ... ... <看更多>

Area under the ROC curve : 0.796296. Python source code: plot_roc.py. print __doc__ import numpy as np import pylab as pl from sklearn import svm, ... ... <看更多>

[Python] GINI, KS, Plotting ROC curve. GitHub Gist: instantly share code, notes, and snippets. ... <看更多>

OP's ROC curve wrong because he used the predicted values of his models instead of the probabilities. What does this mean? When a model is trained it learns the ... ... <看更多>

Let's plot the ROC curve for the Breast Cancer Dataset. ... This ROC curve tells us that our model is nearly perfect classifier, with high accuracy :). ... <看更多>