How to divide my dataset into validation and test set in deep networks with Auto-Encoders?

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Machine Learning Enthusiast
评论： Machine Learning Enthusiast 2017-2-22
i am using this example
http://www.mathworks.com/help/nnet/ug/construct-deep-network-using-autoencoders.html#nnet-ex20671592
i want to divide data like this but its not working
% Setup Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = 80/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
  2 个评论
mizuki
mizuki 2017-2-19
What is the error you get? or what is "not working" exactly?
It seems that 80+15+15=110, so the ratio of training, validation and test data becomes 0.8/1.1=0.727, 0.15/1.1=0.136 and 0.136.
Machine Learning Enthusiast
Machine Learning Enthusiast 2017-2-22
sorry.I replace 80 with 70 in training.So,total 70+15+15=100
i want to implement this division in above example(link),but still its not working.I am trying to get this kind of Confusion Matrix(as shown in figure).
I will be grateful if you share your email.I want to discuss with you. thank you

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回答（1 个）

Richard Palmer
Richard Palmer 2017-2-21
Your percentages do not add up to 1.

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