Methods for training a `RandomForestClassifier` from `scikit-learn` to classify MRI series types.
train_setup(df)
Extract labels for training data and use 'unknown' as test set
train_fit(train, y, features, fname='model-run.skl')
Train a Random Forest classifier on train[features] and y, then save to fname and return.