Unformatted text preview: ﬁll missing values of the attributes with missing values that you decide to keep. Use the tool, or compute, for each attribute the average value (within the class) and ﬁll it for missing values. 3. Discretize data: use binning method (3-4 bins), by hand or use the tool. Replace values in the been by appropriate number, or a chosen symbol; color, words, etc. 4. e-mail prepared data to TA. ATTACH explanation of all steps. 1...
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- Fall '08
- Machine Learning, TA, 10%, WEKA Machine Learning, tool DATA PREPARATION