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利用weka实现数据离散化处理[宝典]

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利用weka实现数据离散化处理[宝典]利用weka实现数据离散化处理[宝典] Using the Weka Discretize Filter 1. Start Weka – you get the Weka GUI chooser window. 2. Click on the Explorer button and you get the Weka Knowledge Explorer window. 3. Click on the “Open File..” button and open an ARFF file (try it fir...

利用weka实现数据离散化处理[宝典]
利用weka实现数据离散化处理[宝典] Using the Weka Discretize Filter 1. Start Weka – you get the Weka GUI chooser window. 2. Click on the Explorer button and you get the Weka Knowledge Explorer window. 3. Click on the “Open File..” button and open an ARFF file (try it first with an example supplied in Weka-3-4/data, e.g. weather.arff). You get the following: 4. Click on Choose and select filters/unsupervised/attribute/Discetize. Then click on the area right of the Choose button. You get the following: You see here the default parameters of this filter. Click on More to get more information about these parameters. 5. Click on the Apply button to do the discretization. Then select one of the original numeric attributes (e.g. temperature) and see how it is discretized in the Selected attribute window. 6. Try other parameters for the filter and see how the discretization changes. Don’t forget to reload the original (numeric) relation or Undo the discretization before applying another one. 7. Try also supervised discretization. It seems that the numeric attributes of the weather relation are not significant with respect to the class (they get a single value “All”, which may be interpreted as “don’t care”).
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