ModelComparison: ModelComparison: Visualization for Machine Learning Metrics

In orionw/ModelComparison: A package to run and compare standard machine learning models with easy visualization

Description

Want to easily compare Machine Learning models? Want to just summarize them in a pretty graph without having to go to all the work? This package consolidates this by allowing you to use your pre-built models to make easy graphics or to build all those models for you.

This function take pre-built models, and puts them into a ModelComparison object.

Usage

ModelComparison(model.list, multi.class)

Arguments

model.list	The training data to build the models.
multi.class	A boolean of whether the models predict a multi-outcome response

Value

A ModelComparison object.

Examples

# models <- list(model1, model2, model3)
# names(models) <- c("NeuralNet", "K-NN", "SVM")
# comp <- ModelComparison(models, F)

orionw/ModelComparison documentation built on Nov. 4, 2019, 11:11 p.m.