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add more explanation for the F-measure example

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Filip Gralinski 2016-12-03 09:25:43 +01:00 committed by Filip Gralinski
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src/GEval/CreateChallenge.hs
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@ -85,6 +85,10 @@ https://archive.ics.uci.edu/ml/machine-learning-databases/00266/seismic-bumps.ar
This is a sample/toy classification challenge for Gonito framework with F-measure as the metric. This is a sample/toy classification challenge for Gonito framework with F-measure as the metric.
Replace it with the description of your challenge. Replace it with the description of your challenge.
For F-measure the expected value is either 1 or 0 (1 means something you are expected to detect occurred).
The output value could a probability where value greater than or equal to 0.5 is interpreted
as 1.
|] ++ (commonReadmeMDContents testName) |] ++ (commonReadmeMDContents testName)
readmeMDContents _ testName = [i| readmeMDContents _ testName = [i|