generate_classification_data: Generate classification data.

In classifly: Explore Classification Models in High Dimensions

Generate classification data.

Description

Given a model, this function generates points within the range of the data, classifies them, and attempts to locate boundaries by looking at advantage.

Usage

generate_classification_data(model, data, n, method, advantage)

Arguments

model	classification model
data	data set used in model
n	number of points to generate
method	method to use, currently either grid (an evenly spaced grid), random (uniform random distribution across cube), or nonaligned (grid + some random peturbationb)
advantage	if TRUE, compute advantage, otherwise don't

Details

If posterior probabilities of classification are available, then the advantage() will be calculated directly. If not, class::knn() is used calculate the advantage based on the number of neighbouring points that share the same classification. Because knn is O(n^2) this method is rather slow for large (>20,000 say) data sets.

By default, the boundary points are identified as those below the 5th-percentile for advantage.

Value

data.frame of classified data

classifly documentation built on March 15, 2026, 5:07 p.m.