class_entropy {c2c}R Documentation

Calculate cluster entropy per class

Description

Used to calculate cluster entropy from a confusion matrix, for each class (i.e. each row and column of the confusion matrix).

Usage

class_entropy(conf_mat)

Arguments

conf_mat

A confusion matrix from get_conf_mat or otherwise (ideally a matrix, although data frames will probably work)

Details

Metrics per class are useful when you are comparing two classifications with different numbers of classes, when an overall measure might not be useful or sensible. Entropy as defined in Manning (2008).

Value

A data frame with two columns, the first corresponding to the confusion matrix rows, the second corresponding to the confusion matrix columns.

References

Manning, C. D., Raghavan, P., & Sch├╝tze, H. (2008) Introduction to information retrieval (Vol. 1, No. 1). Cambridge: Cambridge university press.


[Package c2c version 0.1.0 Index]