d.d.evaluation: Random Forrest - Evaluation

Description Usage Arguments Value Author(s)

View source: R/randomForest.R

Description

Evaluates the predicted values for P of the testset with the actual values. Therefore, creates table with right and wrong preditions and calculates the error 1. and 2. degree. Also, gives visual evaluation with bar chart and pie chart. To get (back) to the overview of all steps and functions use this link: a.a.main

Usage

1
d.d.evaluation(pred, testData)

Arguments

pred

A vector with all predictions for P of all iterations

testData

A Vector with all actual values for P of all iterations

Value

A matrix with the correct predictions, the error predictions and the accuracy

Author(s)

Colin Juers, Tassilo Tobollik


Vitlik/DA2-17 documentation built on May 20, 2019, 11:12 a.m.