splendid-package | R Documentation |
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.
Maintainer: Derek Chiu dchiu@bccrc.ca
Authors:
Aline Talhouk atalhouk@bccrc.ca
Dustin Johnson djohnson@bccrc.ca
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