Image Details
Caption: Figure 9.
Difference between test and training set precision/recall scores for DNN (top) and XGB (bottom) classifiers. The difference in precision is indicated by blue circles, while the difference in recall is marked by orange squares. A significant negative difference between test and train scores indicates a higher chance of overfitting by the algorithm.
© 2024. The Author(s). Published by the American Astronomical Society.