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
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("devtools")
library(devtools)
install_github("AlineTalhouk/splendid")
AlineTalhouk/splendid documentation built on Aug. 30, 2018, 7:54 a.m.