PerfsRegression {moreparty}

Performance measures for regressions

Description

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).

Usage

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)