Performance measures for regressions

Computes various performance measures for regression tasks : sum of the squared errors (SSE), mean squared errors (MSE), root mean squared errors (RMSE), coefficient of determination (R2), Kendall's rank correlation (tau).

PerfsRegression(pred, actual)

Arguments

pred

numerical vector of predicted values

actual

numerical vector of actual values

Value

A numeric vector of performance measures.

Examples

  data(titanic)
  titanic <- titanic[complete.cases(titanic),]
  model <- partykit::ctree(Age ~ Sex + Pclass, data = titanic)
  pred <- predict(model)
  PerfsRegression(pred, titanic$Age)
#>        sse        mse       rmse         R2        tau 
#> 176491.899    169.054     13.002      0.183      0.310