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Table 14 Comparison of best classification accuracy for the Leukemia dataset 2

From: Accurate molecular classification of cancer using simple rules

Methods (feature selection + classification) #Selected genes #Correctly classified samples (accuracy) Rule-based classifier
α depended degree + decision rules [this work] 1 14 (93.33%) yes
HykGene + k-NNs, SVMs, C4.5, NB [85] 26 100%f noi
signal to noise ratios + k-NNs [20] 40 95%g no
  100 9 (90%)h  
  1. fLOOCV result in a total of 72 samples.
  2. gLOOCV result in a total of 57 training samples.
  3. hIn [20], only 3 of 8 AML testing samples in the dataset were mentioned. Thus, their test set contained 10 rather than 15 samples.
  4. iExcept for C4.5, all the others are not rule-based classifiers.