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
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.4.1 |
| URL | https://github.com/AlineTalhouk/splendid https://alinetalhouk.github.io/splendid/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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