Table 3 Comparative results on binary class problem.

From: Machine learning based personalized drug response prediction for lung cancer patients

Reference

Method

Accuracy

13

Extreme learning machines

89.13

39

Sequential minimization optimization

79.58

PDRP

XGboost

98.50

  1. The best accuracy is in bold.
  2. We converted partial response and full response to a single class “response”; and no response and stable disease to a single class “no response”.
Back to article page