Statistical results done on data throws up many patterns much like the data itself. It is getting interesting as I try and figure out
- which of the results are showing a pattern because of the pattern inherent in the statistical test. In my case, especially in SA by partial derivation method
- which are being shown because of extreme values present in the data set. In my case, especially when the point keeps moving between training, validating and testing data sets.
(and the most brilliant one)
- how much of it getting stuffed up because I am using the wrong scale to look the environment.
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