Testing/training set
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saba
el 23 de Abr. de 2012
Comentada: chinnurocks
el 22 de Ag. de 2016
how do i divide my data into testing and training set??whats the easiest way to check whether a sample belongs to a particular class or set??? i have my data saved in excel....
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Junaid
el 23 de Abr. de 2012
it totally depends on type of dataset. One of the famous technique is Cross validation. Look at this picture for quick idea.
or simply divide 60% dataset for training and 40% for testing. or make it iterative as it is done in cross validation.
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Walter Roberson
el 23 de Abr. de 2012
You should divide randomly.
If there was some feature that could be checked that divided the test and training classes, then you would not have done a good job of selecting the training class. The training class should be representative of all of the data.
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chinnurocks
el 22 de Ag. de 2016
Hey... I have 100 subject database out of which 50 are male and 50 are female. Each subject has 6 images. I just took 1 image per subject i.e 100 images. I just extracted 100 feature vectors and able to cross validate the data. But, I want to utilise all the images of a subject.
So, if I take 6 images of a subject. I would get 600 images and I can cross validate. But, it would not give a correct result as it would divide images from the same subject into testing and training at a time.
So, what I was thinking is that 6 feature vectors which i obtain from a subject should go to either testing or training data. But, I am unable to implement it. How to fix it ? Need your help.
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