Learn.Metrics.ConfusionMatrix

type ConfusionMatrix = { fn :: Int, fp :: Int, tn :: Int, tp :: Int }

toString :: ConfusionMatrix -> String

calculate :: Vector Boolean -> Vector Boolean -> ConfusionMatrix

Create confusion matrix from correct values and estimated targets returned by classifier

precision :: ConfusionMatrix -> Number

precision = TP / (TP + FP)

recall :: ConfusionMatrix -> Number

recall = TP / (TP + TN)

accuracy :: ConfusionMatrix -> Number

accuracy = (TP + TN) / (TP + TN + FP + FN)

fscore :: ConfusionMatrix -> Number

F1 score = 2 * (precision * recall) / (precision + recall)