[ 3 / biz / cgl / ck / diy / fa / ic / jp / lit / sci / vr / vt ] [ index / top / reports ] [ become a patron ] [ status ]
2023-11: Warosu is now out of extended maintenance.

/sci/ - Science & Math


View post   

File: 31 KB, 660x574, _91408619_55df76d5-2245-41c1-8031-07a4da3f313f.jpg [View same] [iqdb] [saucenao] [google]
11568694 No.11568694 [Reply] [Original]

>classification problem
>multiclass or multilabel
>want to run a bunch of k fold cross validations
How do I know which metric to use and pick right model?

>> No.11568711

>>11568694
log likelihood?

>> No.11568738

>>11568711
I mean like AUC, F1, accuracy, etc.

>> No.11568746

https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html

>> No.11570309

>>11568738
F1 is best, accuracy doesn't mean shit really.