PerfsRegression: Performance measures for regressions

In nicolas-robette/moreparty: A Toolbox for Conditional Inference Trees and Random Forests

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)

nicolas-robette/moreparty documentation built on April 10, 2024, 2:24 p.m.