A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting ...

scikit-learn comes with a few standard datasets, for instance the iris and digits datasets for classification. The iris dataset consists of measurements of three different species of irises ...