fig5

Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation

Figure 5. Feature selection results of thermal conductivity dataset using SFFS and Kneed algorithms. (A) MAPE variation with the number of features; (B) Normalized distance values versus number of features in Kneed algorithm; (C-E) Spearman correlation coefficient matrices of optimal feature subsets. SFFS: Sequential forward floating selection; MAPE: mean absolute percentage error.

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