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Table 4 The selected parameters for each one-class learning algorithm separately for each disease

From: Disease candidate genes prediction using positive labeled and unlabeled instances

The name of the disease ↓

Algorithm

→

SVDD

 KNN

Robust Gaussian

 ParzenWindow

Parameter

→

ɤ4

kernel

3K

2Tol

1h

Adrenal

0.14

RBF

2

e-3

1

Colon

0.14

RBF

1

0.015

1.2

Lung

0.3

RBF

2

e-3

1

Prostate

0.2

RBF

1

e-3

1

Heart Failure

0.14 

RBF

2

e-3

0.9

Neurological

0.14 

RBF

2 

0.005

1 

  1. 1Width parameter 
  2. 2Error tolerance on mean and cov. Matrix
  3. 3Number of neighbors
  4. 4Width parameter in the RBF kernel