Class Summary Class Description AccuracyMetric
AccuracyMetricis a metric that answers the following two questions: 1.
AccuracyMetric.Result AucRocMetricArea under the curve (AUC) of the receiver operating characteristic (ROC). ClassificationEvaluation of classification results. MulticlassConfusionMatrixMetricCalculates the multiclass confusion matrix. MulticlassConfusionMatrixMetric.ActualClass MulticlassConfusionMatrixMetric.PredictedClass MulticlassConfusionMatrixMetric.Result PerClassSingleValue PrecisionMetric
PrecisionMetricis a metric that answers the question: "What fraction of documents classified as X actually belongs to X?" for any given class X equation: precision(X) = TP(X) / (TP(X) + FP(X)) where: TP(X) - number of true positives wrt X FP(X) - number of false positives wrt X
RecallMetricis a metric that answers the question: "What fraction of documents belonging to X have been predicted as X by the classifier?" for any given class X equation: recall(X) = TP(X) / (TP(X) + FN(X)) where: TP(X) - number of true positives wrt X FN(X) - number of false negatives wrt X