AlineTalhouk/splendid: SuPervised Learning ENsemble for Diagnostic IDentification

Provides a bootstrapping and ensemble framework for supervised learning analyses using multiclass classification algorithms for modelling, prediction, and evaluation. Predicted classes are evaluated under metrics such as log loss, AUC, F1-score, Matthew's correlation coefficient, and accuracy. Discrimination and reliability plots visualize the classifier performances. The .632+ estimator is implemented for the log loss error rate.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.0.9011
URL https://github.com/AlineTalhouk/splendid https://alinetalhouk.github.io/splendid/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AlineTalhouk/splendid")
AlineTalhouk/splendid documentation built on Dec. 11, 2019, 6:24 p.m.