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Table 3 Comparison of kNN classification model and SVM models

From: Open-source QSAR models for pKa prediction using multiple machine learning approaches

Model algorithm Descriptor type Variables Train BA Fivefold CV BA Test BA
kNN Continuous 15 0.8 0.8 0.77
SVM Continuous 15 0.92 0.8 0.73
SVM Continuous 511 0.98 0.79 0.72
SVM Fingerprints 1565 0.98 0.8 0.74
SVM Fragment counts 815 0.96 0.8 0.73
  1. The kNN classification model used the 15 GA selected descriptors. The SVM models used the same descriptors as well as additional continuous descriptors, fingerprints, and fragment counts as noted in the table