Provides wrapper functions for running classification and regression tests using different machine learning techniques, such as Random Forests and decision trees. The package provides standardized methods for preparing data to suit the algorithm's needs, training a model, making predictions, and evaluating results. Also, some functions are provided to run multiple instances of a test.
|Author||Sjoerd van der Spoel [aut, cre]|
|Date of publication||2016-05-20 22:36:56|
|Maintainer||Sjoerd van der Spoel <[email protected]>|
|License||GPL-3 | file LICENSE|
|Package repository||View on CRAN|
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