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] |