PerfsRegression: Performance measures for regressions
In moreparty: A Toolbox for Conditional Inference Trees and Random Forests

PerfsRegression

R Documentation

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)

moreparty documentation built on Nov. 22, 2023, 5:08 p.m.