I have a simple question about filtering attributes in WEKA. Let\'s say I have 500 attributes 30 classes and 100 samples for each class which equals 3000 rows and 500 columns. This causes time and me
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There are two parameters while using RBF kernels with Support Vector Machines: C and γ. It is not known beforehand which C and γ are the best for one开发者_如何学Python problem; consequently some ki
In WEKA-a data mining software for the MICROARRAY DATA, how can i remove the redundant tuples from the existing data set? The code to remove the redundancy should be in JAVA.
I\'m using the explorer feature of Weka for classification. So I have my .arff file, with 2 features of NUMERIC value, and my class is a binary 0 or 1 (eg {0,1}).
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