EvaluationMeasures (version 1.1.0)

EvaluationMeasures.Accuracy: EvaluationMeasures.Accuracy

Description

Accuracy of prediction

Usage

EvaluationMeasures.Accuracy(Real = NULL, Predicted = NULL, Positive = 1, TP = NULL, TN = NULL, FP = NULL, FN = NULL)

Arguments

Real

Real binary values of the class

Predicted

Predicted binary values of the class

Positive

Consider 1 label as Positive Class unless changing this parameter to 0

TP

Number of True Positives. Number of 1 in real which is 1 in predicted.

TN

Number of True Negatives. Number of 0 in real which is 0 in predicted.

FP

Number of False Positives. Number of 0 in real which is 1 in predicted.

FN

Number of False Negatives. Number of 1 in real which is 0 in predicted.

Value

Accuracy

Details

Accuracy is What fraction of our prediction is true.

By getting the predicted and real values or number of TP,TN,FP,FN return the accuaracy of model

Examples

EvaluationMeasures.Accuracy(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))