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Table 10 Baseline and best results for NB, SVM, CRF

From: A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment

  

Acc.

F-Measure

S1

  

OBJ

METH

RES

CON

       
 

BL

.29

.23

.23

.39

.18

       
 

NB

.82

.85

.75

.85

.71

       
 

SVM

.89

.90

.81

.90

.90

       
 

CRF

.85

.87

.72

.87

.81

       

S2

  

BKG

OBJ

METH

RES

CON

REL

FUT

    
 

BL

.25

.13

.08

.22

.40

.13

-

-

    
 

NB

.76

.79

.25

.70

.83

.66

-

-

    
 

SVM

.90

.94

.88

.85

.91

.88

1.0

-

    
 

CRF

.85

.92

.69

.77

.88

.75

-

.33

    

S3

  

HYP

MOT

BKG

GOAL

OBJT

EXP

MOD

METH

OBS

RES

CON

 

BL

.15

-

.10

.06

.04

.06

.11

-

.13

.24

.15

.17

 

NB

.53

-

.56

-

-

-

.30

-

.32

.61

.59

.62

 

SVM

.81

-

.82

.62

.62

.85

.70

-

.89

.82

.86

.87

 

CRF

.71

-

.74

.49

.72

.67

.59

-

.58

.71

.56

.82

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BMC Bioinformatics

ISSN: 1471-2105

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