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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]