Figure 4.

Scenario 2, experiment 14: Training models using randomly selected subsets of variants

The number of variants used for training varied from 10k to 1m. MagicalRsq models were built based on CF 2k samples and tested on the independent CF 3k samples. We repeated 5 times for each number of variants. Squared Pearson correlation with true R² was calculated and served as the evaluation metric. The red dashed line denotes the performance of standard Rsq. nvar, number of variants included in model training.