Matrix-ID_Detailed results for all tested models for Signal prediction and Retention Time prediction

Contains the dataset of 2,604 chromatographic measurements generated from the analysis of 186 training molecules across 14 LC methods, as well as the detailed performance results of all machine-learning models evaluated. It reports the cross-validation outcomes for the five tested algorithms (RF, XGBoost, Extra Trees, Ridge, and ElasticNet) used for signal/no-signal classification and RT prediction.