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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