|
Category
|
Predictor
|
Raw Accuracy
|
Balanced accuracy
|
F1-score
|
Matthew’s correlation coefficient
|
|---|
|
B
|
SIFT
|
0.749
|
0.549
|
0.241
|
0.092
|
|
B
|
LRT
|
0.794
|
0.576
|
0.280
|
0.162
|
|
B
|
MutationAssessor
|
0.191
|
0.460
|
0.247
|
−0.106
|
|
B
|
FATHMM
|
0.846
|
0.500
|
0.000
|
0.000
|
|
B
|
PROVEAN
|
0.737
|
0.557
|
0.258
|
0.103
|
|
Meta
|
MetaSVM
|
0.846
|
0.500
|
0.000
|
0.000
|
|
Meta
|
MetaLR
|
0.846
|
0.500
|
0.000
|
0.000
|
|
Meta
|
M-CAP
|
0.846
|
0.500
|
0.000
|
0.000
|
|
ML
|
Polyphen2_HDIV
|
0.771
|
0.592
|
0.310
|
0.175
|
|
ML
|
Polyphen2_HVAR
|
0.691
|
0.621
|
0.341
|
0.188
|
|
ML
|
MutationTaster
|
0.194
|
0.433
|
0.230
|
−0.156
|
|
ML
|
FATHMM-MKL
|
0.829
|
0.505
|
0.063
|
0.022
|
- Accuracy indexes measuring the ability to differentiate severe from mild GLA mutations for all the predictors used by wANNOVAR. Categories are B for “biologically based prediction method”, ML for “Machine Learning based prediction method”, and Meta for “Meta prediction method”
