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Modeling error (especially sampling error) instead of replicable and informative relationships among variables improves model fit statistics, but reduces parsimony, and worsens explanatory and predictive validity.
0
votes
1
answer
328
views
Is my model overfitting?
1.00 2060438
Confusion matrices (1st is training set, 2nd is testing set)
I see that my PRAUC of the training dataset is nearly 1 and it has perfect recall score, so I suspect that my model is overfitting …
0
votes
0
answers
239
views
Model returns low training F1 Score, but high Testing and Validation F1 score
Is it safe to assume that my model is not overfitting, or is there something wrong with my intrepretation? … If it is not overfitting, what is wrong with my data, or my model, or are these results acceptable? …