Figure5
From: Data-driven prediction of the glass-forming ability of modeled alloys by supervised machine learning
Figure 5. Machine learning model optimizations. (A) Cross-validation scores for various learning models with polynomial degrees up to 7. (B) The learning curve of the Ridge model. The training score and cross-validation score are compared with different training sizes. Both of them tend to saturate and merge at large training sizes.
