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Table 6 Comparison of different methods for hot spots prediction on independent test set

From: Rigorous assessment and integration of the sequence and structure based features to predict hot spots

Method P R F1
Robetta 0.66 0.49 0.56
FOLDEF 0.50 0.44 0.47
Cho's method 0.53 0.62 0.57
Sequence-based SVM 0.69 0.68 0.68
Structure-based SVM 0.62 0.70 0.66
All features SVM 0.65 0.63 0.64