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Aug 19 at 16:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Apr 14 at 5:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 13 at 3:30 answer added SlartyBartfarst timeline score: 0
Sep 18, 2022 at 22:51 history edited Ethan
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Mar 25, 2021 at 9:44 comment added jfmoyen I realize that. Which is why I posted here first, rather than reporting the bug on github. As we all know the bug more often than not is in the chair-keyboard interface :-)
Mar 25, 2021 at 9:32 comment added Erwan Well I don't know why it doesn't work, but most of the time when we think there is a bug there's actually another reason that we didn't find yet ;) Hopefully somebody knowledgeable will be able to help.
Mar 25, 2021 at 8:28 comment added jfmoyen Ok. So, in principle, the LDA widget should work as I thought - did I run into a plain bug then ?
Mar 24, 2021 at 22:26 comment added Erwan Welcome to DataScienceSE. I don't know Orange much but yes, "class" and "target" are the same thing. More precisely, the target is what one wants to predict in any supervised learning task (it can be either a categorical or numerical value) and the class is the same as target but only categorical (class = target of classification). Another name for "target" is "dependent variable". So "class-labeled data" is any data (like the iris dataset) which has a categorical variable used as target. If there is no target at all, then one can only use unsupervised methods such as clustering.
Mar 24, 2021 at 22:00 history edited desertnaut CC BY-SA 4.0
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Mar 24, 2021 at 17:05 review First posts
Mar 24, 2021 at 18:07
Mar 24, 2021 at 16:59 history asked jfmoyen CC BY-SA 4.0