sortinghat is a classification framework to streamline the evaluation of classifiers (classification models and algorithms) and seeks to determine the best classifiers on a variety of simulated and benchmark data sets. Several error-rate estimators are included to evaluate the performance of a classifier. This package is intended to complement the well-known 'caret' package.
|Author||John A. Ramey|
|Date of publication||2013-12-07 10:31:18|
|Maintainer||John A. Ramey <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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