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Table 3 The range (or list) of parameters used in the parameter tuning phase for the classification models

From: Statistical representation models for mutation information within genomic data

Algorithm

Parameter

Range or Values

KNN

k

[2,150]

SVM

Kernel

linear, polynomial, rbf

 

Polynomial degree

[2,5]

 

Gamma

[10−4,10−1]

 

Cost

[101,104]

Perceptron

Optimization function

Adam, SDG

 

Activation function

ReLU, tanh

 

Hidden layer size

[10,100]

 

The maximum number of iterations

[100,300]

Feed Forward NN

Optimization function

Adam, SDG

 

Activation function

ReLU, tanh

 

The number of layers

[2,6]

 

Dropout rate

[0.25,0.5]

 

The number of nodes in the first layer

[1024,8192]