Fig. 5
From: ImaGene: a convolutional neural network to quantify natural selection from genomic data
Accuracy of quantifying positive selection under different representation of the distribution of true labels. Confusion matrices for estimating selection coefficients into 11 intervals from 0 to 400. Classification was performed assuming a different representation of true labels, either as a categorical distribution, a Guassian distribution, or a perturbed categorical distribution