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Table 2 Configurations used along the machine-learning algorithm in both exploratory and refinement modeling phases

From: Computational prediction of inter-species relationships through omics data analysis and machine learning

   

Modeling phase

  

Parameters

Exploratory

Refinement

Method

K-NN

K

{1,2,3,4,5,6,7,8,9}

 
 

RF

N-trees

{10^2, 10^3, 10^4}

 
  

L-size

{2,3,4}

 
 

SVM

Penalty

{10^4, 10^3,... 10^-2}

 
  

Momentum

{10^-4, 10^-3,..., 10^4}

 
 

ANN

N-neurones

{2,3,4,5,6}

{7,8,9,10}

  

Epochs

{10,25,50,75,100}

{10,25,50,75,100}

  

Momentum

{0.1,0.4,0.7}

{0.1,0.4,0.7}

Datasets

  

All 19 sets

SB1E-6, NBN50, NB50, CH