Table 5

The performance comparison of the top-3 methods in Table 4 on independent test sets Test1185 and SL250. Bold fonts indicate the best results

DatasetMethod|${\text{AUC}}_{\text{ROC}}$||${\text{AUC}}_{\text{PR}}$|MCCSw
Test1185SPOT-Disorder0.8940.6500.5670.477
SPOT-Disorder20.9140.6980.6070.676
LMDisorder0.9200.7090.6240.692
SL250SPOT-Disorder0.8930.8750.6290.567
SPOT-Disorder20.9010.8890.6790.625
LMDisorder0.9050.8900.6790.634
DatasetMethod|${\text{AUC}}_{\text{ROC}}$||${\text{AUC}}_{\text{PR}}$|MCCSw
Test1185SPOT-Disorder0.8940.6500.5670.477
SPOT-Disorder20.9140.6980.6070.676
LMDisorder0.9200.7090.6240.692
SL250SPOT-Disorder0.8930.8750.6290.567
SPOT-Disorder20.9010.8890.6790.625
LMDisorder0.9050.8900.6790.634
Table 5

The performance comparison of the top-3 methods in Table 4 on independent test sets Test1185 and SL250. Bold fonts indicate the best results

DatasetMethod|${\text{AUC}}_{\text{ROC}}$||${\text{AUC}}_{\text{PR}}$|MCCSw
Test1185SPOT-Disorder0.8940.6500.5670.477
SPOT-Disorder20.9140.6980.6070.676
LMDisorder0.9200.7090.6240.692
SL250SPOT-Disorder0.8930.8750.6290.567
SPOT-Disorder20.9010.8890.6790.625
LMDisorder0.9050.8900.6790.634
DatasetMethod|${\text{AUC}}_{\text{ROC}}$||${\text{AUC}}_{\text{PR}}$|MCCSw
Test1185SPOT-Disorder0.8940.6500.5670.477
SPOT-Disorder20.9140.6980.6070.676
LMDisorder0.9200.7090.6240.692
SL250SPOT-Disorder0.8930.8750.6290.567
SPOT-Disorder20.9010.8890.6790.625
LMDisorder0.9050.8900.6790.634
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