TABLE 3.
Performance of Seven Classifier Algorithms Using Greedy Pairs Gene Selection with Separate Training and Test Sets
Percentage correct classification | ||||||||
---|---|---|---|---|---|---|---|---|
|
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Training set | Test set | CCPa | LDA | 1-NN | 3-NN | NC | SVM | BCCP |
WT | Atm−/− | 73 | 64 | 64 | 73 | 73 | 64 | 73 |
SCID | 100 | 100 | 90 | 100 | 90 | 90 | 100 | |
Atm−/− | WT | 100 | 100 | 91 | 91 | 100 | 91 | 91 |
SCID | 90 | 90 | 80 | 80 | 90 | 80 | 80 | |
SCID | WT | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Atm−/− | 100 | 100 | 100 | 100 | 100 | 100 | 100 | |
Mixeda | WT | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Atm−/− | 100 | 100 | 100 | 100 | 100 | 100 | 100 | |
SCID | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Notes. CCP = compound covariate predictor; LDA = linear discriminant analysis; 1-NN = 1-nearest neighbor. 3-NN = 3-nearest neighbors; NC = nearest centroid; SVM = support vector machines; BCCP = Bayesian compound covariate predictor.
The mixed training set used two irradiated and two control samples from each genotype.