Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The harm of class imbalance corrections for risk prediction models:
  illustration and simulation using logistic regression   Methods to correct class imbalance, i.e. imbalance between the frequency of
outcome events and non-events, are receiving increasing interest for developing
prediction models. We examined the effect of imbalance correction on the
performance of standard and penalized (ridge) logistic regression models in
terms of discrimination, calibration, and classification. We examined random
undersampling, random oversampling and SMOTE using Monte Carlo simulations and
a case study on ovarian cancer diagnosis. The results indicated that all
imbalance correction methods led to poor calibration (strong overestimation of
the probability to belong to the minority class), but not to better
discrimination in terms of the area under the receiver operating characteristic
curve. Imbalance correction improved classification in terms of sensitivity and
specificity, but similar results were obtained by shifting the probability
threshold instead. Our study shows that outcome imbalance is not a problem in
itself, and that imbalance correction may even worsen model performance.

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The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess