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how MATLAB find the ratios for training NN results (test, train and validation )?

Asked by Furat Alobaidy on 5 Dec 2019 at 0:28
Latest activity Answered by Ridwan Alam on 5 Dec 2019 at 0:47
Hi ,
please , what is the mathematical formula for calculate the ratio in matlab when i used NN for prediction problems
so what is mean for eaxmple:
test raito : R=0.9998
train ratio :R=0.9993
valadation raito : R=0.9925
All , r=0.994

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Answer by Ridwan Alam on 5 Dec 2019 at 0:47
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In your fig, I believe R is representing the coefficient of determination or the correlation coeeficient (https://www.mathworks.com/help/stats/coefficient-of-determination-r-squared.html).
Not only for NN, but any machine learning task, the whole dataset is first divided into training, validation, and test datasets. The model is trained and validated using methods such as cross validation, and the final model is assessed using the test set. In your fig, it looks like different models are compared using all four datasets showing different parameters fit different datasets better. For more, please check: https://www.mathworks.com/help/stats/model-building-and-assessment.html

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