Random Forests

A Random Forest is a discriminative classification model which acts as an ensemble of multiple Decision Trees. Using such an ensemble has several advantages. One the one hand the resulting classifier is more robust with respect to outliers in the training data and thus less prone to overfitting. On the other hand it allows a probabilistic classification, which is usually not possible for discriminative classifiers.


Online Resources