text: Title: Probability Calibration Curve
  Body: When performing classification one often wants to predict not only the class label but also the associated probability to give a level of confidence in the prediction. The `sklearn.metrics.calibration_curve` method returns true and predicted probabilities that can be visualized across multiple models to make the best model selection based on reliability. 
  
  ![Probability Calibration Curve](http://scikit-learn.org/stable/_images/sphx_glr_plot_calibration_curve_001.png)
  
  - [Scikit-Learn Example: Probability Calibration Curves](http://scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html#probability-calibration-curves)
  
  Alexandru Niculescu-Mizil and Rich Caruana (2005) Predicting Good Probabilities With Supervised Learning, in Proceedings of the 22nd International Conference on Machine Learning (ICML). See section 4 (Qualitative Analysis of Predictions).