advantage

post

<p>This is used to identify the boundaries between classification regions.
Points with low (close to 0) advantage are likely to be near boundaries.</p>

classif

Given $p$-dimensional training data containing $d$ groups
(the design space), a classification algorithm (classifier) predicts
which group new data belongs to.  Generally the input to these
algorithms is high dimensional, and the boundaries between groups will
be high dimensional and perhaps curvilinear or multi-faceted. This
package implements methods for understanding the division of space
between the groups.

Hadley Wickham

advantage: Calculate the advantage the most likely class has over the next most likely.

Description

Usage

Arguments