Fig. 2
From: Exploring the potential of incremental feature selection to improve genomic prediction accuracy
Prediction accuracy of soy phenotypes. Prediction accuracy (measured as mean R2) of soy phenotypes as a function of the number of SNPs used for the model (presented as logarithmic values) on the Φ data. The trend estimate, represented by the solid black curve, is obtained through smoothing. The maximum accuracy is indicated by the vertical green line. Mean performance of the model when trained on all SNPs is represented by the horizontal black line, with the shaded interval around it indicating the standard error of the mean of 10 cross-validation repetitions. The prediction accuracy of all three traits could be increased by up to 0.02 using IFS