Description Usage Arguments Details Value Author(s) Examples
Calculate the Somers D statistic for a given logit model
1 | somersD(actuals, predictedScores)
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actuals |
The actual binary flags for the response variable. It can take a numeric vector containing values of either 1 or 0, where 1 represents the 'Good' or 'Events' while 0 represents 'Bad' or 'Non-Events'. |
predictedScores |
The prediction probability scores for each observation. If your classification model gives the 1/0 predcitions, convert it to a numeric vector of 1's and 0's. |
For a given binary response actuals and predicted probability scores, Somer's D is calculated as the number of concordant pairs less number of discordant pairs divided by total number of pairs.
The Somers D statistic, which tells how many more concordant than discordant pairs exist divided by total number of pairs.
Selva Prabhakaran selva86@gmail.com
1 2 | data('ActualsAndScores')
somersD(actuals=ActualsAndScores$Actuals, predictedScores=ActualsAndScores$PredictedScores)
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[1] 0.7461592
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