Fig. 2
From: A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexes
The area under the curve (AUC) of models based on different combination of features in prediction clonal complexes (CCs) of S. agalactiae using XGBoost algorithm. From top left to bottom right: A (the parameters include antibiotic resistance only), S&A (serotypes and antibiotic resistance), V (virulence genes detection results only), S&V (serotypes and virulence genes), A&V (antibiotic resistance and virulence genes) and S&A&V (serotypes and antibiotic resistance and virulence genes) model