Fig. 5
From: Conditional similarity triplets enable covariate-informed representations of single-cell data
Sensitivity Analysis of Parameters within the Loss Function. We systematically varied the three model hyperparameters, \(\alpha\), ‘same threshold’ (\(H_{s}\)) and ‘diff threshold‘ (\(H_{d}\)) and visualized the mean AUC/standard deviation over ten trials with different train/test splits. Ten trials were run with different train/test splits, and yellow squares denote the optimal hyperparameter combinations across the ten trials. Each heatmap grid also denotes the number of trials that a particular parameter combination was optimal in