Can anyone suggest me a simple and fast tutorial?
There is an online course offered by the University of Waikato on how to use WEKA: https://weka.waikato.ac.nz/dataminingwithweka
I already built one using UIUC car dataset but it contains a little number of positive and negative samples (500 for each)?I need a trained classifier based on Large dataset.
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Many researchers suggested that i need at least 7000 positive samples and more than that for negative samples. Any recommendation?
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I read that this can be done using the Dirichlet process model but I don't understand the concept?
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