wines

A list of wine varieties in an approximately Zipfian distribution, ordered by descending frequencies.

data

Cross-validate one or multiple regression and classification models
and get relevant evaluation metrics in a tidy format. Validate the
best model on a test set and compare it to a baseline evaluation.
Alternatively, evaluate predictions from an external model. Currently
supports regression and classification (binary and multiclass).
Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R.,
& Wambugu M. (2019, ISBN: 9781838550134).

Ludvig Renbo Olsen

cvms

Cross-Validation for Model Selection

wines function

A <code>data.frame</code> with <code>368</code> rows and <code>1</code> variable:<dl>
 <dt>Variety</dt>
<dd>Wine variety, 10 levels</dd>
</dl>

Format

Ludvig Renbo Olsen, <a href="/link/r-pkgs%40ludvigolsen.dk?package=cvms&version=1.7.0" data-mini-rdoc="cvms::r-pkgs@ludvigolsen.dk">r-pkgs@ludvigolsen.dk</a>

Author

Wine varieties — wines

A <code>data.frame</code> with <code>368</code> rows and <code>1</code> variable:<dl>
 <dt>Variety</dt>
<dd>Wine variety, 10 levels</dd>


</dl>

Ludvig Renbo Olsen, <a href='mailto:r-pkgs@ludvigolsen.dk'>r-pkgs@ludvigolsen.dk</a>

wines: Wine varieties

Description

Arguments

Format

Author

Details