[HN Gopher] Adventures in Imbalanced Learning and Class Weight
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       Adventures in Imbalanced Learning and Class Weight
        
       Author : andersource
       Score  : 23 points
       Date   : 2025-05-08 13:41 UTC (2 days ago)
        
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 (TXT) w3m dump (andersource.dev)
        
       | ipunchghosts wrote:
       | I read the article and the take away is that class weights and
       | stratified sampling did not help for the OPs problem.
        
       | lamename wrote:
       | Nice writeup. F1, balanced accuracy, etc. In truth it depends on
       | your problem and what a practical "best" solution is, especially
       | in imbalanced scenarios, but Matthews Correlation Coefficient
       | (MCC) is probably the best comprehensive and balanced blind go-to
       | metric, because it guarantees that more portions of the confusion
       | matrix are good [0,1].
       | 
       | I made a quick interactive, graphical exploration to demonstrate
       | this in python [2].
       | 
       | [0]:
       | https://biodatamining.biomedcentral.com/articles/10.1186/s13...
       | 
       | [1]:
       | https://biodatamining.biomedcentral.com/articles/10.1186/s13...
       | 
       | [2]: https://www.glidergrid.xyz/post-archive/understanding-the-
       | ro...
        
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       (page generated 2025-05-10 23:00 UTC)