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

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0.3.4 by Choonghyun Ryu, 2 months ago

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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