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Why does RapidMiner delete datarows when automatic feature selection is applied?

SanderMEsSanderMEs Member Posts: 1 Newbie
edited December 2019 in Help
Maybe a very stupid question, but my input consists of 15577 data rows, my output only consists of 4500 data rows when I apply auto feature selection in data preparation.
In addition to that, can I reliably compare the confusion matrices of the baseline model (with 15577 rows) and the RapidMiner model (with +/- 4500 rows) when sizes differ but data is the same?

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