Examples
The examples use standard machine learning datasets to demonstrate how
forestci can be used to calculate error bars on
RandomForestRegressor and RandomForestClassifier objects. The
regression examples use a bundled copy of the Auto MPG dataset from the UC Irvine Machine Learning
Repository, with features of different cars and their MPG. The classification
example generates synthetic data to simulate a task like that of a spam
filter: classifying items into one of two categories (e.g., spam/non-spam)
based on a number of features. The dataset attribution and license are
documented in data/README.md.
