Model Classifier for Binary Classification

A collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.3.4 by Choonghyun Ryu, 8 months ago

Report a bug at

Browse source code at

Authors: Choonghyun Ryu [aut, cre]

Documentation:   PDF Manual  

GPL-2 | file LICENSE license

Imports caTools, cli, dlookr, dplyr, future, ggmosaic, MASS, MLmetrics, methods, party, purrr, ROCR, ranger, rlang, rpart, stats, tibble, tidyr, tidyselect, unbalanced, xgboost

Depends on ggplot2, randomForest

Suggests knitr, ISLR, mice, mlbench

See at CRAN