7.1.2. mclearn.classifier.print_classification_result

mclearn.classifier.print_classification_result(X_train, X_test, y_train, y_test, report=True, recall_maps=True, classifier=None, correct_baseline=None, coords_test=None, output='', fig_dir='', trained=False)

Train the specified classifier and print out the results.

Parameters:

• X_train (array) – The feature vectors (stored as columns) in the training set.
• X_test (array) – The feature vectors (stored as columns) in the test set.
• y_train (array) – The target vector in the training set.
• y_test (array) – The target vector in the test set.
• report (bool) – Whether to print out the classification report.
• recall_maps (bool) – Wheter to make a map of recall scores.
• classifier (Classifier object) – A classifier object that will be used to train and test the data. It should have the same interface as scikit-learn classifiers.
• correct_baseline (array) – If we want to compare our results to some baseline, supply the default predicted data here.
• coords_test (array) – The coordinates of the test examples used in mapping.
• output (str) – The name that will be attached to the path of the saved plots.

Returns:

• correct_boolean (array) – The boolean array indicating which test exmaples were correctly predicted.
• confusion_test (array) – The confusion matrix on the test examples.