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Table 1 The LOOCV classification accuracy (%)

From: Microarray-based cancer prediction using single genes

Method
Dataset
SGC-t SGC-W DLDA k-NN SVM RF
Melanoma 97* 96** 97* 97* 97* 97*
Breast Cancer 1 63** 69* 61 53 52 43
Brain Cancer 80* 77** 65 73 60 70
Breast Cancer 2 58 50 73* 67** 73* 67**
Gastric Tumor 89 80 81 96** 97* 95
Lung Cancer 1 98* 95** 95** 98* 98* 98*
Lung Cancer 2 93** 93** 99* 99* 99* 99*
Lymphoma 74* 71** 66 52 59 57
Myeloma 68 67 75 78** 74 79*
Pancreatic Cancer 69** 90* 63 61 65 55
Prostate Cancer 89** 89** 78 93* 93* 93*
  1. Note:
  2. 1 SGC-t: Single Gene Classifier with the t-test gene selection method.
  3. 2 SGC-W: Single Gene Classifier with the WMW gene selection method.
  4. 3 for each dataset, the highest classification accuracy is highlighted with a single asterisk and the second highest is highlighted with a double asterisk.