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Table 9 Performance of the genetic and exhaustive frameworks

From: A genetic algorithm based framework for software effort prediction

DS LS Exh C LS Gen C LS Gen C LS Gen
1 7X2X6 0.79 1 6X3X8 0.72 4 1X1X11 0.79 7 1X1X11 0.79
2 1X1X14 0.77 1 1X2X8 0.71 4 7X3X14 0.77 7 7X3X14 0.77
3 2X1X1 0.85 1 2X4X6 0.84 4 2X5X1 0.85 7 2X5X1 0.85
4 2X2X1 0.83 1 6X5X3 0.80 4 6X5X3 0.80 7 6X5X3 0.80
5 7X1X2 0.70 1 7X1X3 0.69 4 6X5X1 0.69 7 6X5X1 0.69
6 6X5X1 0.70 1 6X3X1 0.71 4 6X4X1 0.71 7 6X4X1 0.71
7 6X4X6 0.78 1 7X5X14 0.75 4 6X4X6 0.76 7 6X4X6 0.76
8 6X4X6 0.75 1 2X3X1 0.74 4 1X5X3 0.71 7 1X5X3 0.71
1 7X2X6 0.79 2 1X1X11 0.79 5 1X5X11 0.79 8 6X2X4 0.77
2 1X1X14 0.77 2 7X3X14 0.77 5 7X1X14 0.77 8 7X3X11 0.74
3 2X1X1 0.85 2 2X5X1 0.85 5 7X4X6 0.84 8 1X4X6 0.84
4 2X2X1 0.83 2 6X5X3 0.80 5 2X2X1 0.83 8 6X1X3 0.81
5 7X1X2 0.70 2 6X5X1 0.69 5 1X3X4 0.69 8 7X2X3 0.69
6 6X5X1 0.70 2 6X4X1 0.71 5 6X2X1 0.71 8 6X4X3 0.68
7 6X4X6 0.78 2 6X4X6 0.76 5 6X2X3 0.75 8 1X3X14 0.74
8 6X4X6 0.75 2 1X5X3 0.71 5 2X1X1 0.75 8 2X2X6 0.72
1 7X2X6 0.79 3 7X5X6 0.79 6 6X2X4 0.78 9 1X1X2 0.78
2 1X1X14 0.77 3 6X2X14 0.78 6 7X1X14 0.77 9 1X5X14 0.77
3 2X1X1 0.85 3 2X5X1 0.85 6 2X5X6 0.84 9 2X4X1 0.85
4 2X2X1 0.83 3 7X1X6 0.82 6 5X2X1 0.79 9 7X5X6 0.81
5 7X1X2 0.70 3 7X1X3 0.70 6 1X1X3 0.70 9 1X1X6 0.69
6 6X5X1 0.70 3 6X1X1 0.71 6 6X5X1 0.71 9 1X2X6 0.68
7 6X4X6 0.78 3 6X2X6 0.78 6 6X2X3 0.76 9 1X3X14 0.76
8 6X4X6 0.75 3 2X5X1 0.74 6 2X4X1 0.75 9 2X5X1 0.75