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Weka Confusion Matrix Analysis by Amelia Abera is a document available to read on EtoBox.

What is Weka Confusion Matrix Analysis about?

This document summarizes the results of running a J48 decision tree classifier on a training set with 3 attributes (Weather, Yesterday, Classification) and 14 instances. The classifier achieved 66.67% accuracy on a test set of 6 instances. The tree had 4 leaves and classified based on the Weather and Yesterday attributes.

Author

Amelia Abera

Language

EN