getBestModel: Get Best possible model for your binary class dataset

In nishantborude/Brainoread: An interface for Binary classification using R, Java, and Python ML algorothms

Description

Gives the best possible binary classification model suit for given dataset. Takes binary class train dataset and it's labels, perform stratified sampling, performs train and test, gives average AUC for 'iter' iterations

Usage

getBestModel(x, y, iter = 100, verboseIter = FALSE)

Arguments

x	Matrix or dataframe with numeric values (features of train data)
y	Vector (class of given train data)
iter	Numeric value (These many number of time each model will be evaluated for AUC)
verboseIter	Boolean value (print progress)

Value

dataframe with fields for Average AUC, Model Name, Platform (Ex. r)

nishantborude/Brainoread documentation built on May 23, 2019, 7:05 p.m.