Rudolf J
@rudolfj.bsky.social
🥼Research Data Laboratory Lead🔬Research Fellow 🌏Associate Fellow Australasian Institute of Digital Health
Reposted by Rudolf J
1) Class imbalance
There is class imbalance if the binary outcome (0/1) of a study does not have equal numbers of 0s and 1s. Methods to artificially correct this imbalance are popular, but in many situations may do more harm than good
arxiv.org/abs/2404.19494
There is class imbalance if the binary outcome (0/1) of a study does not have equal numbers of 0s and 1s. Methods to artificially correct this imbalance are popular, but in many situations may do more harm than good
arxiv.org/abs/2404.19494
The harms of class imbalance corrections for machine learning based prediction models: a simulation study
Risk prediction models are increasingly used in healthcare to aid in clinical decision making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk estimates) is criti...
arxiv.org
December 23, 2024 at 10:36 AM
1) Class imbalance
There is class imbalance if the binary outcome (0/1) of a study does not have equal numbers of 0s and 1s. Methods to artificially correct this imbalance are popular, but in many situations may do more harm than good
arxiv.org/abs/2404.19494
There is class imbalance if the binary outcome (0/1) of a study does not have equal numbers of 0s and 1s. Methods to artificially correct this imbalance are popular, but in many situations may do more harm than good
arxiv.org/abs/2404.19494