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Table 2 Hyperparameters for the different classifiers. For all of them random undersampling [23] was used

From: Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences

Classifier

Inputs

Hyperparameters

Decision trees

Raw sequence

Pruned trees

Position weight matrix

Raw sequence

None

Stop codon method

Raw sequence

None

Support vector

Raw sequence

C{1,10,100,100},d{12,24}

machines

  

k nearest neighbor

Raw sequence

Hamming distance, k[1,100]