Table 6

An overview of the published classification results in Golub et al. ALL/AML leukemia data
Authors Cross Validation Train-Test Features
Samples Accuracy (%) Samples Accuracy (%)
[6] 36/38 94.73 29/34 85.29 50
[67] 38/38 100.00 34/34 100 -
[67] - - 33/34 97.06 -
[64] - - - 94.1 -
[66] - - - 94.1 -
[68] - - - 91.6 -
[68] - - - 94.4 -
[68] - - - 95.8 -
[65] - - - 94.17 50
[65] - - - 95.44 50
[65] - - - 95.94 50
[65] - - - 96.44 50
[70] 38/38 100 31/34 91.17 7129
[70] 38/38 100 34/34 100 999
[70] 38/38 100 32/34 94.11 99
[70] 38/38 100 30/34 88.23 49
[70] - - 34/34 100 40
[70] - - 32/34 94.11 5
[71] - - - 95.0~ -
[71] - - - 95.0~ -
[71] - - - 95.0~ -
[72] 37/38 98 34/34 100 185
[73] 38/38 100 34/34 100 3800
[74] 37/38 98 32/34 94.11 21
[62] 71/72 98.6 - - -
[38] 71/72 98.61 - - 2
[69] 38/38 (DLDA) 100 33/34 (DLDA) 97.06 50
[60] 38/38 100 - - 50
[63] - - 31/34 91.18 1038
mAP-KL (RF) - 98.93 24/34 70.59 5
mAP-KL (KNN) - 93.61 24/34 70.59 5
mAP-KL (SVM-linear) - 97.36 27/34 79.41 5

Sakellariou et al.

Sakellariou et al. BMC Bioinformatics 2012 13:270   doi:10.1186/1471-2105-13-270

Open Data