Web Reference: An important feature of Weka is Discretization where you group your feature values into a defined set of interval values. Experiments showed that algorithms ... But, since discretization depends on the data which presented to the discretization algorithm, one easily end up with incompatible train and test files. The following shows how to generate compatible discretized files out of a training and a test file by using the supervised version of the filter. Dec 13, 2019 · The process of converting a real-valued attribute into an ordinal attribute or bins is called discretization. You can discretize your real valued attributes in Weka using the Discretize filter. The tutorial below demonstrates how to use the Discretize filter.
YouTube Excerpt: An important feature of
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