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Table 5 Percentage accuracy of 10-fold cross validation of feature selection methods applied to the classification methods.

From: A comparative study of different machine learning methods on microarray gene expression data

1. Lymphoma (De vos et.al, 2002) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 96.00 80.00 92.00 88.00 92.00 64.00 64.00
CFS 50 96.00 88.00 76.00 88.00 68.00 84.00 64.00 64.00
ChiSquared 50 96.00 84.00 72.00 92.00 72.00 80.00 80.00 80.00
All features 7129 96.00 84.00 68.00 88.00 64.00 76.00 48.00 52.00
2. Breast (Perou et. al, 2000) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 98.81 97.62 95.24 94.05 97.62 96.43 98.81
CFS 50 98.81 98.81 96.43 94.05 95.24 97.62 97.62 98.81
ChiSquared 50 97.62 97.62 97.62 95.24 95.24 98.81 97.62 98.81
All features 1753 97.62 97.62 96.43 92.86 92.86 96.43 94.05 96.43
3. Colon (Alon et. al, 1999) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 97.78 97.78 97.78 95.56 91.11 95.56 95.56
CFS 50 95.56 93.33 95.56 95.56 95.56 95.56 95.56 97.78
ChiSquared 50 97.78 91.11 95.56 97.78 97.78 95.56 93.33 97.78
All features 7464 95.56 91.11 91.11 93.33 91.11 80.00 88.89 93.33
4. Lung (Garber et. al, 2001) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 98.61 98.61 97.22 97.22 98.61 98.61 98.61
CFS 50 97.22 97.22 98.61 98.61 97.22 97.22 97.22 97.22
ChiSquared 50 98.61 98.61 98.61 97.22 95.83 97.22 97.22 97.22
All features 917 97.22 97.22 97.22 95.83 94.44 95.83 97.22 97.22
5. Adenocarc. (Beer et.al, 2002) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 96.51 94.19 89.53 89.53 89.53 89.53 89.53
CFS 50 98.84 97.67 93.02 89.53 89.53 89.53 89.53 89.53
ChiSquared 50 98.84 95.35 91.86 88.37 90.70 88.37 94.19 88.37
All features 5377 96.51 94.19 75.58 75.58 74.42 79.07 66.28 79.07
6. Lymphoma (Alizadeh et al, 2000) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 100.00 94.79 90.63 90.63 90.63 90.63 90.63
CFS 50 97.92 94.79 93.75 90.63 90.63 90.63 90.63 90.63
ChiSquared 50 97.92 95.83 92.71 89.58 91.67 89.58 94.79 89.58
All features 4027 96.88 88.54 77.08 85.42 75.00 76.04 62.50 84.38
7. Melanoma (Bittner et. al, 2000) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 97.37 92.11 92.11 89.47 89.47 76.32 89.47
CFS 50 97.37 86.84 89.47 89.47 92.11 92.11 76.32 86.84
ChiSquared 50 97.37 89.47 86.84 86.84 89.47 89.47 86.84 86.84
All features 8067 94.74 81.58 84.21 76.32 81.58 81.58 52.63 81.58
8. Ovarian (Welsh et. al, 2001) # Genes SVM RBF MLP Bayesian J48 ID3 R. Forest Bagging
SVM-RFE 50 100.00 100.00 94.87 94.87 94.87 94.87 92.31 89.74
CFS 50 97.44 87.18 92.31 94.87 94.87 94.87 89.74 92.31
ChiSquared 50 97.44 89.74 92.31 94.87 94.87 94.87 87.18 94.87
All features 7129 94.87 84.62 89.74 87.18 87.18 89.74 74.36 89.74