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Table 12 Best learning schemes selected

From: A genetic algorithm based framework for software effort prediction

LS(DS=1) F % LS(DS=2) F % LS(DS=3) F % LS(DS=4) F %
7X5X6 203 33% 6X2X14 188 30% 2X5X1 322 50% 7X1X6 207 32%
1X1X11 154 25% 7X3X14 158 25% 2X5X6 69 11% 6X5X3 114 18%
6X2X4 115 19% 7X1X14 118 19% 2X4X1 61 9% 6X1X3 113 18%
1X5X11 46 8% 1X5X14 66 11% 7X4X6 59 9% 7X5X6 76 12%
1X1X2 44 7% 7X3X11 62 10% 1X4X6 57 9% 5X2X1 61 10%
6X3X8 11 2% 6X4X14 16 3% 2X5X2 51 8% 2X2X1 59 9%
Other 39 6% Other 17 3% Other 25 4% Other 9 1%
LS(DS=5) F % LS(DS=6) F % LS(DS=7) F % LS(DS=8) F %
7X1X3 213 33% 6X1X1 205 32% 6X2X6 203 30% 2X5X1 278 44%
6X5X1 153 24% 6X4X1 154 24% 6X4X6 156 23% 1X5X3 156 25%
1X1X6 78 12% 1X2X6 73 11% 1X3X14 148 22% 2X4X1 71 11%
1X1X3 68 11% 6X5X1 69 11% 6X2X3 138 21% 2X2X6 59 9%
7X2X3 55 9% 6X2X1 60 9% 7X5X14 12 2% 2X1X1 56 9%
1X1X4 37 6% 6X4X3 58 9% 6X3X3 4 1% 2X3X1 16 3%
Other 32 5% Other 20 3% Other 8 1% Other 0 0%