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Table 7 An overview of the published classification results in Singh et al. prostate cancer data

From: Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

Authors Cross Validation Train-Test Features
  Samples Accuracy (%) Samples Accuracy (%)  
[67] 98/102 96.08 33/34 97.06 -
[63] - - 25/34 73.53 3071
[38] 124/136 91.18 - - 6
mAP-KL (RF) - 87.33 18/34 52.94 12
mAP-KL (KNN) - 82.22 29/34 85.29 12
mAP-KL (SVM-linear) - 87.82 33/34 97.06 12