Table 14 Datasets descriptive statistics
From: A genetic algorithm based framework for software effort prediction
DS | N | Variable | Mean | Min | 5Q | 10Q | 25Q | Median | 75Q | 90Q | 95Q | Max | Range | Std.D. | Skew | Kurt |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1-4 | 72 | UFP | 240.42 | 24 | 54 | 70.9 | 93.25 | 183.5 | 323.5 | 483.4 | 600.15 | 1337 | 1313 | 202.3 | 2.66 | 11.27 |
72 | EI | 88.78 | 0 | 1.95 | 6.6 | 26.25 | 71.5 | 108.75 | 179.6 | 320.55 | 551 | 551 | 95.26 | 2.64 | 8.94 | |
72 | EO | 46.4 | 0 | 0 | 0 | 7 | 26 | 62 | 130.9 | 172 | 287 | 287 | 59.7 | 2.12 | 5.04 | |
72 | EQ | 58.72 | 0 | 0 | 6 | 18.25 | 43.5 | 77.75 | 125.8 | 195.4 | 275 | 275 | 57 | 1.76 | 3.57 | |
72 | ILF | 39.71 | 0 | 0 | 7 | 7 | 26 | 51.25 | 95.8 | 137.75 | 252 | 252 | 48.18 | 2.5 | 7.58 | |
72 | EIF | 6.81 | 0 | 0 | 0 | 0 | 0 | 10 | 29.1 | 36.75 | 54 | 54 | 12.62 | 2.16 | 4.3 | |
72 | Effort | 6134.29 | 167 | 837.8 | 1150.7 | 2006.75 | 3347.5 | 7386.25 | 12850.4 | 19641 | 71729 | 71562 | 9135.85 | 5.52 | 37.96 | |
5-8 | 202 | UFP | 246.9 | 6 | 38.45 | 53.3 | 90 | 183.5 | 312.25 | 552.1 | 731.8 | 1337 | 1331 | 224.02 | 2 | 4.67 |
202 | EI | 96.99 | 0 | 4.3 | 8.3 | 26.75 | 66 | 131.25 | 235.6 | 363.05 | 551 | 551 | 100.02 | 1.9 | 3.91 | |
202 | EO | 37.56 | 0 | 0 | 0 | 5 | 21 | 49 | 94 | 137.25 | 287 | 287 | 50.46 | 2.64 | 8.2 | |
202 | EQ | 65.08 | 0 | 0 | 4 | 14 | 42.5 | 90.25 | 148.9 | 220.1 | 419 | 419 | 70.87 | 1.99 | 5.02 | |
202 | ILF | 37.07 | 0 | 0 | 0 | 7 | 21 | 51.25 | 84 | 123.55 | 403 | 403 | 52.75 | 3.65 | 18.31 | |
202 | EIF | 10.21 | 0 | 0 | 0 | 0 | 0 | 10 | 30 | 53.85 | 261 | 261 | 26.84 | 5.43 | 40.83 | |
202 | Effort | 4726.56 | 167 | 600.7 | 773.8 | 1288.75 | 2752 | 4999.75 | 9478.1 | 13299.75 | 71729 | 71562 | 7921.06 | 5.74 | 40.35 |