generate_classification_data {classifly}

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, 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