Evaluation procedures for machine learning models, used to estimate how good models are performing for a given data.
Class Summary Class Description ClassificationMetricsContainer class for all metrics which use confusion matrix for their computation. ClassificationMetrics.Stats ClassifierEvaluationResultContains result of the classifier evaluation, which include various metrics to evaluate how good classifier is at prediction. ClassifierEvaluatorEvaluation method for binary and multi-class classifiers. ConfusionMatrixConfusion matrix which contains classifier evaluation results (including class labels and matrix values). EvaluatorsUtility methods for evaluating machine learning models. MeanSquaredErrorThis class calculates values used for evaluation metrics for regression problems. RegresionEvaluatorEvaluates regressor neural network for specified data set. RootMeanSquaredErrorA measure of error for regression tasks.