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List of classifiers with their implementation language, function, and module/package used and values used for hyper-parameter tuning (the notation 1:2:5 means values from 1 to 5 with step 2).
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List of classifiers with their implementation language, function, and module/package used and values used for hyper-parameter tuning (the notation 1:2:5 means values from 1 to 5 with step 2).

Journal: Biomedicines

Article Title: CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study

doi: 10.3390/biomedicines11082144

Figure Lengend Snippet: List of classifiers with their implementation language, function, and module/package used and values used for hyper-parameter tuning (the notation 1:2:5 means values from 1 to 5 with step 2).

Article Snippet: Neural Network , mlp: multilayer perceptron , Matlab , Function fitcnet, n h = 10, h 1 = max(1,⌊ N/(I + C) ⌋), h 0 = max(1,⌊ h 1 / n h ⌋),Δ = max(1,( h 1 - h 0 )/ n h ), h (number of hidden neurons) = h 0 :Δ: h 1 N = no. training patterns, I = no. features.

Techniques: Plasmid Preparation