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Examples
nave91 edited this page Sep 2, 2014
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1 revision
python reader.py weather -v
The simplest form of data mining shows mean and mode of continuous and discrete attributes.
Note: Verbose level set to 1
WARNING: empty or missing file
tableprint prints expected with mean by default
outlook $temp $humidity windy =play # notes
sunny 72.0 82.5 FALSE yes # expected
0.36 6.57 10.29 0.57 0.64 # certainity
sunny 85.0 85.0 FALSE no #
sunny 80.0 90.0 TRUE no #
overcast 83.0 86.0 FALSE yes #
rainy 70.0 96.0 FALSE yes #
rainy 68.0 80.0 FALSE yes #
rainy 65.0 70.0 TRUE no #
overcast 64.0 65.0 TRUE yes #
sunny 72.0 95.0 FALSE no #
sunny 69.0 70.0 FALSE yes #
rainy 75.0 80.0 FALSE yes #
sunny 75.0 70.0 TRUE yes #
overcast 72.0 90.0 TRUE yes #
overcast 81.0 75.0 FALSE yes #
rainy 71.0 91.0 TRUE no #