SRBCTSmall Round Blue-Cell Tumor
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The proposed model proved its capability to select features from large datasets, when applied on SRBCT microarray dataset.
99 (Wisconsin On average On average diagnostic) Thyroid - - - Table 9: The selected features subsets using the proposed ACO model that achieved the best accuracy /feature subset for SRBCT.
For SRBCT dataset maximum classification accuracy of 100% is achieved with 15 genes with LDC and SVM classifier using MICE.