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Table 11 Performance on balanced plant dataset using SVM classifier on automatically collected orthologs

From: Plus ça change – evolutionary sequence divergence predicts protein subcellular localization signals

 

F Div Plant 4 classes (15)

F Div Plant 3 classes (61)

 

AUC

MCC

AUC

MCC

MTS

0.62±0.11

0.24±0.21

0.66±0.08

0.35±0.14

SP

0.78±0.11

0.58±0.23

N/A

N/A

CTP

0.73±0.16

0.43±0.31

0.77±0.12

0.51±0.23

N-signal-free

0.80±0.14

0.72±0.20

0.81±0.09

0.67±0.13

% accuracy

60.00±9.13

66.22±10.11

  1. The 5-fold cross-validation performance of an SVM classifier using divergence features is shown for three-way classification on balanced sets of (automatically generated) plant orthologs with or without the SP class. The number of examples is given in parenthesis at top.