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Table 6 Analysis of variance of F score, precision and sensitivity by balancing method and feature selection for HCV

From: Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

Precision source

SS

df

MS

F

p

Method

0.0025

2

0.0013

32.843

0.000 (a)

Pre-processing

0.0011

1

0.0011

28.713

0.000 (a)

Method.Pre-processing

0.0064

2

0.0032

84.402

0.000 (a)

Sensitivity Source

SS

df

MS

F

p

Method

0.0194

2

0.0970

114.86

0.000 (a)

Pre-processing

0.4375

1

0.4375

518.21

0.000 (a)

Method.Pre-processing

0.4162

2

0.2081

246.46

0.000 (a)

F score Source

SS

df

MS

F

p

Method

0.0041

2

0.0021

25.546

0.000 (a)

Pre-processing

0.0114

1

0.0114

141.771

0.000 (a)

Method.Pre-processing

0.0019

2

0.0010

11.844

0.000 (a)

  1. (a) = Significant at 0.0025 level with adjustment for multiple testing. Method = simple downsizing, multiple downsizing or SMOTE. Pre-processing = random forest variable selection or not. Method. Pre-processing = the interaction between Pre-processing and Method
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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