tag:blogger.com,1999:blog-3884463987282087684.post7254026319070723175..comments2023-12-23T20:46:11.620-08:00Comments on DataTechNotes: SelectKBest Feature Selection Example in PythonUnknownnoreply@blogger.comBlogger5125tag:blogger.com,1999:blog-3884463987282087684.post-84169219358560738742023-11-29T15:31:38.018-08:002023-11-29T15:31:38.018-08:00Thanks, great helpThanks, great helpAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-3884463987282087684.post-77496327396575852752023-07-12T23:17:53.186-07:002023-07-12T23:17:53.186-07:00greatgreatMary Brownhttps://www.blogger.com/profile/05695070551792098532noreply@blogger.comtag:blogger.com,1999:blog-3884463987282087684.post-49453191915809055762023-05-01T14:40:01.753-07:002023-05-01T14:40:01.753-07:00facts, is there process to choosing the k value?facts, is there process to choosing the k value?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3884463987282087684.post-50087277226942302192022-11-24T20:01:44.083-08:002022-11-24T20:01:44.083-08:00So you randomly decided that the number of feature...So you randomly decided that the number of features to select for regression is 8 out of 13? Why 8? Why not 7 or 9 or 5?? Doesn't seem very scientific.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-3884463987282087684.post-29979695778672345102022-06-16T19:26:44.864-07:002022-06-16T19:26:44.864-07:00greatgreatAnonymousnoreply@blogger.com