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Table 3

Performance scores for different ML models when evaluated on the testing set after being trained on the entire training set for the three stellar parameters.

Parameter Model AUC MCC Sensitivity Specificity
Teff KNN 0.947 0.876 0.787 0.982
RF 0.989 0.907 0.859 0.987
GB 0.955 0.836 0.766 0.977
Voting 0.989 0.891 0.825 0.985
log ɡ KNN 0.884 0.591 0.629 0.929
RF 0.949 0.683 0.707 0.942
GB 0.928 0.627 0.647 0.932
Voting 0.948 0.673 0.683 0.939
Fe/H KNN 0.920 0.772 0.711 0.939
RF 0.979 0.856 0.787 0.961
GB 0.975 0.836 0.776 0.956
Voting 0.980 0.845 0.781 0.958

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