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2024年4月16日发(作者：linux查看已开放端口)

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. ). 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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