Census Example with Calibrated Probabilities
This experiment demonstrates how to build binary classifier to predict income levels and use logistic regression to calibrate probabilities.
For probability calibration, logistic regression is used to predict labels given scores from decision forest model. Increase the regularization parameters of logistic regression to reduce extreme probabilities.
