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"# EZtune"

Version 3.0.0 was updated to include options for tuning using AUC for classification models and mean absolute error (MAE) for regression models.

The function eztune_cv returns both the classification accuracy and AUC for classification models. It returns both MSE and MAE for regression models.

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Version

Install

install.packages('EZtune')

Monthly Downloads

249

Version

3.1.1

License

GPL-3

Maintainer

Jill Lundell

Last Published

December 10th, 2021

Functions in EZtune (3.1.1)

lichenTest

Test dataset for lichen data
mullein

Mullein data from Lava Beds National Monument
eztune_cv

Cross Validated Accuracy for Supervised Learning Model
eztune

Supervised Learning Function
predict.eztune

Prediction function for EZtune
lichen

Lichen data from the Current Vegetation Survey
mulleinTest

Mullein data from Lava Beds National Monument - test dataset