From: A genetic algorithm based framework for software effort prediction
DS | C | LS | S | MMRE | MdMRE | MMAR | MdMAR | MSA | MdSA | Pred25 |
---|---|---|---|---|---|---|---|---|---|---|
7 | 3 | 6X5X6 | 0.79 | 0.61 | 0.72 | 2,206 | 902 | 58.25 | 80.14 | 0.35 |
7 | 4 | 6X4X6 | 0.79 | 0.61 | 0.72 | 2,360 | 894 | 55.34 | 80.20 | 0.35 |
7 | 5 | 6X2X3 | 0.77 | 0.84 | 0.92 | 2,612 | 1,238 | 50.58 | 72.58 | 0.28 |
7 | 5 | 6X3X3 | 0.77 | 0.86 | 0.94 | 2,625 | 1,259 | 50.33 | 72.15 | 0.27 |
7 | 6 | 6X2X3 | 0.77 | 0.84 | 0.92 | 2,612 | 1,238 | 50.58 | 72.58 | 0.28 |
7 | 6 | 6X3X3 | 0.77 | 0.86 | 0.94 | 2,625 | 1,259 | 50.33 | 72.15 | 0.27 |
7 | 7 | 6X4X6 | 0.79 | 0.61 | 0.72 | 2,360 | 894 | 55.34 | 80.20 | 0.35 |
7 | 8 | 1X3X14 | 0.77 | 0.71 | 0.84 | 2,655 | 1,047 | 49.76 | 76.19 | 0.31 |
7 | 8 | 6X2X14 | 0.78 | 0.73 | 0.87 | 2,674 | 1,110 | 49.40 | 75.31 | 0.29 |
7 | 9 | 1X3X14 | 0.77 | 0.71 | 0.84 | 2,655 | 1,047 | 49.76 | 76.19 | 0.31 |
7 | 9 | 6X2X14 | 0.78 | 0.73 | 0.87 | 2,674 | 1,110 | 49.40 | 75.31 | 0.29 |
8 | 1 | 2X3X1 | 0.73 | 0.76 | 0.87 | 2,691 | 1,117 | 49.08 | 74.22 | 0.28 |
8 | 2 | 1X5X3 | 0.69 | 0.94 | 1.01 | 2,941 | 1,406 | 44.34 | 69.05 | 0.25 |
8 | 3 | 2X4X1 | 0.73 | 0.74 | 0.85 | 2,563 | 1,084 | 51.50 | 75.00 | 0.29 |
8 | 3 | 2X5X1 | 0.73 | 0.73 | 0.85 | 2,549 | 1,075 | 51.76 | 75.35 | 0.29 |
8 | 4 | 1X5X3 | 0.69 | 0.94 | 1.01 | 2,941 | 1,406 | 44.34 | 69.05 | 0.25 |
8 | 5 | 2X1X1 | 0.74 | 0.73 | 0.85 | 2,558 | 1,084 | 51.60 | 75.20 | 0.29 |
8 | 5 | 2X5X1 | 0.73 | 0.74 | 0.87 | 2,570 | 1,112 | 51.37 | 74.66 | 0.29 |
8 | 6 | 2X4X1 | 0.73 | 0.73 | 0.85 | 2,577 | 1,100 | 51.23 | 74.76 | 0.29 |
8 | 6 | 2X5X1 | 0.73 | 0.73 | 0.86 | 2,591 | 1,115 | 50.98 | 74.41 | 0.29 |
8 | 7 | 1X5X3 | 0.69 | 0.94 | 1.01 | 2,941 | 1,406 | 44.34 | 69.05 | 0.25 |
8 | 8 | 2X2X6 | 0.75 | 0.81 | 0.89 | 2,547 | 1,144 | 51.80 | 74.77 | 0.30 |
8 | 9 | 2X3X1 | 0.73 | 0.74 | 0.87 | 2,643 | 1,091 | 50.00 | 74.58 | 0.28 |
8 | 9 | 2X5X1 | 0.74 | 0.74 | 0.86 | 2,631 | 1,085 | 50.21 | 74.91 | 0.29 |