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Table 11 Evaluation and prediction correlation values by framework configuration

From: A genetic algorithm based framework for software effort prediction

DS C LS Eval Pred DS C LS Eval Pred
1 1 6X3X8 0.72 0.70 5 1 7X1X3 0.69 0.67
1 2 1X1X11 0.79 0.80 5 2 6X5X1 0.69 0.69
1 3 7X5X6 0.79 0.79 5 3 7X1X3 0.70 0.70
1 4 1X1X11 0.79 0.80 5 4 6X5X1 0.69 0.69
1 5 1X5X11 0.79 0.80 5 5 1X3X4 0.69 0.71
1 6 6X2X4 0.78 0.79 5 6 1X1X3 0.70 0.71
1 7 1X1X11 0.79 0.80 5 7 6X5X1 0.69 0.69
1 8 6X2X4 0.77 0.78 5 8 7X2X3 0.69 0.68
1 9 1X1X2 0.78 0.78 5 9 1X1X6 0.69 0.69
2 1 1X2X8 0.71 0.72 6 1 6X3X1 0.71 0.72
2 2 7X3X14 0.77 0.78 6 2 6X4X1 0.71 0.72
2 3 6X2X14 0.78 0.78 6 3 6X1X1 0.71 0.71
2 4 7X3X14 0.77 0.78 6 4 6X4X1 0.71 0.72
2 5 7X1X14 0.77 0.79 6 5 6X2X1 0.71 0.70
2 6 7X1X14 0.77 0.79 6 6 6X5X1 0.71 0.70
2 7 7X3X14 0.77 0.78 6 7 6X4X1 0.71 0.72
2 8 7X3X11 0.74 0.73 6 8 6X4X3 0.68 0.67
2 9 1X5X14 0.77 0.76 6 9 1X2X6 0.68 0.67
3 1 2X4X6 0.84 0.83 7 1 7X5X14 0.75 0.77
3 2 2X5X1 0.85 0.85 7 2 6X4X6 0.76 0.76
3 3 2X5X1 0.85 0.85 7 3 6X2X6 0.78 0.78
3 4 2X5X1 0.85 0.85 7 4 6X4X6 0.76 0.76
3 5 7X4X6 0.84 0.85 7 5 6X2X3 0.75 0.75
3 6 2X5X6 0.84 0.83 7 6 6X2X3 0.76 0.76
3 7 2X5X1 0.85 0.85 7 7 6X4X6 0.76 0.76
3 8 1X4X6 0.84 0.85 7 8 1X3X14 0.74 0.74
3 9 2X4X1 0.85 0.85 7 9 1X3X14 0.76 0.77
4 1 6X5X3 0.80 0.79 8 1 2X3X1 0.74 0.73
4 2 6X5X3 0.80 0.81 8 2 1X5X3 0.71 0.70
4 3 7X1X6 0.82 0.80 8 3 2X5X1 0.74 0.73
4 4 6X5X3 0.80 0.81 8 4 1X5X3 0.71 0.70
4 5 2X2X1 0.83 0.83 8 5 2X1X1 0.75 0.76
4 6 5X2X1 0.79 0.79 8 6 2X4X1 0.75 0.76
4 7 6X5X3 0.80 0.79 8 7 1X5X3 0.71 0.70
4 8 6X1X3 0.81 0.81 8 8 2X2X6 0.72 0.72
4 9 7X5X6 0.81 0.81 8 9 2X5X1 0.75 0.76