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7.4.11. mclearn.performance.compute_balanced_accuracy

mclearn.performance.compute_balanced_accuracy(classifier, testing_pool, testing_oracle)[source]

Compute the accuracy of a classifier based on some test set.

Parameters:
  • classifier (Classifier object) – A trained instance of the Classifier object.
  • testing_pool (array) – The feature matrix of the test examples.
  • testing_oracle (array) – The target vector of the test examples.
Returns:

balanced_accuracy_expected – The expected balanced accuracy rate on the test set.
Return type:

float