Performance of Regression Models as a Function of Experiment Noise.
Gang LiJan ZrimecBoyang JiJun GengJohan LarsbrinkAleksej ZelezniakJens NielsenMartin K M EngqvistPublished in: Bioinformatics and biology insights (2021)
The new method for estimating upper bounds for model performance on test data should aid researchers in developing ML regression models that reach their maximum potential. Although we study biological datasets in this work, the new upper bound estimates will hold true for regression models from any research field or application area where response variables have associated noise.