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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