Cross validation error meaning in decision tree program

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Melinda Darren
Melinda Darren el 11 de Abr. de 2017
Respondida: Alain Kuchta el 20 de Abr. de 2017
I need help deciphering what a cross valiadation error (kfoldloss) of 536 means. I've developed a program that creates a decision tree. The program runs with 2,286 data points for several different variables. Does this mean that the model gets 536 predictions incorrect?
Attached is the code. Thanks for your responses and help.

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Alain Kuchta
Alain Kuchta el 20 de Abr. de 2017
You may find the explanation of Classification Loss from the documentation helpful in understanding this measure:
http://www.mathworks.com/help/stats/classificationpartitionedmodel.kfoldloss.html#bswic2v-2

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