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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