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Hands-On Ensemble Learning with R
book

Hands-On Ensemble Learning with R

by Prabhanjan Narayanachar Tattar
July 2018
Beginner to intermediate content levelBeginner to intermediate
376 pages
9h 1m
English
Packt Publishing
Content preview from Hands-On Ensemble Learning with R

Interrating agreement

A simple extension of the measures discussed in the previous section on the ensemble classifiers is to compute the measures for all possible pairs of the ensemble and then simply average over all those values. This task constitutes the next exercise.

Exercise: For all possible combinations of ensemble pairs, calculate the disagreement measure, Yule's statistic, correlation coefficient, Cohen's kappa, and the double-fault measure. After doing this, obtain the average of the comparisons and report them as the ensemble diversity.

Here, we will propose alternative measures of diversity and kick-start the discussion with the entropy measure. In all discussions in this section, we will use the oracle outputs.

Entropy measure

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Publisher Resources

ISBN: 9781788624145Supplemental Content