Open Access

Table C.1.

Classification performance of XGBoost and TabPFN for the sample of FSRQs and BL Lacs in the 4LAC-DR3.

Model Accuracy BL Lac FSRQ AUC
Precision Recall F1 score Precision Recall F1 score
XGBoost 0.908 ± 0.017 0.932 ± 0.021 0.931 ± 0.021 0.931 ± 0.013 0.864 ± 0.036 0.864 ± 0.044 0.863 ± 0.027 0.963 ± 0.011
TabPFN 0.916 ± 0.019 0.938 ± 0.021 0.936 ± 0.018 0.937 ± 0.014 0.874 ± 0.032 0.875 ± 0.045 0.874 ± 0.030 0.969 ± 0.009

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