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OCR: Table 3. Comparison between various approaches for feature subset selection. The non-GA column shows the best performance among several approaches not based on genetic algorithms ;* the Richeldi coloma shows the perfor- mante reported by Richeldi and Lanzi;7 and the DistAl column shows the performance of our approach. NON-GA Diszá DATA SET FEATURES ACCURACY FEATURES ACCURACY FEATURES ACCURACY Annealing .. 8 95.0 + 2.3 21.043.1 99.5 : 0.9 Cancer 747 5.4+14 99.3 + 0.9 CRX 6 85.0 85.1 6.1 8:0 +2.1 91.5 + 2.8 Glass 4 62.5 4 70.5 * 7.8 5.5 1:4 80.8 + 5:0 Heart 3 79.2 5 80.8 6.5 7.2+1.6 93.9 +3.8 Hepatitis 4 84.6 9.2 + 2.3 97.1 # 4.3 4 85.3 11.1+2.3 92.6# 3.4 Pima 3 73.2 = 3.8 3.8 1.1,5 79.5 + 3.1 F 76.0 9.0 30.7+3.7 97.2 + 2.9 4 Vehicle 7 69.6 6.1 9.1 £1.7 68.8 4.3 97.0 5 95.7 + 3.5 8.9+ 1.8 98.8 + 1.2