I've been working with the Classification Application and generated functions for 3 different tree-based classification algorithms. The data set consists of three continuous variables and one classification column where the data can be one of three states: NL, MG and LR.
Reading the comments in the automatically generated code, it describes the accuracyValidation output as:
A double containing the accuracy in percent. In the app, the History list displays this overall accuracy score for each model.
However, when I output it, it is a 3 column binary matrix so I'm not sure how to interpret it. Can someone help by explaining this? I have included the training and testing datasets alongside the main file. Many thanks.