Fig. 5: Health grading model performance-confusion matrix, performance metrics and real-class wise performance for.
From: EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
a FBM for common test set of 72 embryos, b IBM for common test set of 72 embryos, c IBM for extended data of 122 embryos, d FBM for live embryos (19 instances), and e IBM for live embryos (19 instances). R denotes the real class assigned by expert (healthy (H), intermediate (I) and sick (S)) and P denotes the model predicted class (H/I and S), N denotes the number of embryos per class, Acc denotes the accuracy per real class.
