Table 1 Main characteristics of the classifiers used in the proposed ensemble
From: Ensemble-based classification approach for micro-RNA mining applied on diverse metagenomic sequences
Classifier | Learning algorithm | Features | Training data |
|---|---|---|---|
Triplet-SVM | SVM | A vector of 32 structure-sequence features | Human pre-miRNAs |
Mipred | RF | A vector of 32 structure-sequence features, MFE and P-value | Human pre-miRNAs |
Virgo | SVM | A vector of 512 structure-sequence features | Viruses pre-miRNAs |
EumiR | SVM | A vector of 512 structure-sequence features | Different Eukaryotic pre-miRNA |
Ensemble-based | Committee classifier | A vector of 4-dimensions (the outputs from the base classifiers) | Human pre-miRNAs |