fmeta.rf: Random Forest meta predictor

In fizlaz/DUN: Team DUN Kaggle milestone

Description

Creates probabilities for each class

Usage

fmeta.rf(train, test = NULL, csv = FALSE, trees = 1000, verbose = FALSE)

Arguments

train	Train set without ID and URL
test	Test set without ID and URL. If left empty then it the functions trains on train with 5 fold cross validation
csv	Boolean, default FALSE. If TRUE, saves csv output.
trees	Number of trees per fold, default 1000.
verbose	Boolean, default FALSE. If TRUE, prints output.

Value

A data frame with 5 probabilites for each row

fizlaz/DUN documentation built on May 16, 2019, 1:13 p.m.