fig7

Multi-activity derivative automated labeling and margin-sampling active learning for efficient determination of phase boundaries

Figure 7. Evolution of predictive uncertainty and final sampling distributions for SVC under different acquisition strategies. (A) Uncertainty distributions at iterations 0, 25, and 50 for MS, LC, and EA; (B) Sampling distributions after 50 iterations. Triangles denote the uniformly distributed initial labeled samples, whereas circles denote samples subsequently selected through active-learning queries. SVC: Support vector classifier; MS: margin sampling; LC: least confidence; EA: entropy-based acquisition.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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