|
Number |
Historical cost (1,000 KRW) | Neural networks | Boosting regression tree | Predicted cost (1,000 KRW) | Error rate (%) | Predicted cost (1,000 KRW) | Error rate (%) |
| 1 | 6,809,450 | 7,704,034 | 13.14 | 7,206,795 | 5.84 | 2 | 9,351,716 | 10,015,906 | 7.10 | 9,805,656 | 4.85 | 3 | 6,656,230 | 7,251,317 | 8.94 | 6,322,112 | 5.02 | 4 | 7,119,470 | 7,128,513 | 0.13 | 7,418,373 | 4.20 | 5 | 7,304,747 | 7,978,990 | 9.23 | 7,349,178 | 0.61 | 6 | 9,729,392 | 9,516,946 | 2.18 | 9,259,162 | 4.83 | 7 | 10,801,826 | 9,817,999 | 9.11 | 9,682,119 | 10.37 | 8 | 7,944,318 | 7,246,763 | 8.78 | 7,136,773 | 10.17 | 9 | 10,879,004 | 10,136,431 | 6.83 | 10,572,777 | 2.81 | 10 | 7,552,814 | 7,764,300 | 2.80 | 7,683,295 | 1.73 | 11 | 8,845,099 | 8,558,536 | 3.24 | 8,370,497 | 5.37 | 12 | 10,690,800 | 10,001,503 | 6.45 | 10,015,284 | 6.32 | 13 | 8,694,721 | 8,258,452 | 5.02 | 8,446,796 | 2.85 | 14 | 6,582,636 | 6,810,406 | 3.46 | 6,954,507 | 5.65 | 15 | 7,583,680 | 8,312,216 | 9.61 | 8,194,292 | 8.05 | 16 | 7,099,220 | 7,955,966 | 12.07 | 8,292,381 | 16.81 | 17 | 8,145,147 | 8,604,444 | 5.64 | 8,522,009 | 4.63 | 18 | 8,652,810 | 7,853,765 | 9.23 | 8,270,169 | 4.42 | 19 | 10,527,278 | 10,040,039 | 4.63 | 9,611,194 | 8.70 | 20 | 6,679,924 | 6,467,344 | 3.18 | 7,397,923 | 10.75 | 21 | 8,383,830 | 9,203,887 | 9.78 | 8,487,286 | 1.23 | 22 | 7,298,932 | 8,018,225 | 9.85 | 8,294,895 | 13.65 | 23 | 7,505,428 | 7,749,053 | 3.25 | 7,967,265 | 6.15 | 24 | 7,710,921 | 7,622,053 | 1.15 | 7,795,563 | 1.10 | 25 | 6,196,652 | 6,503,022 | 4.94 | 5,940,634 | 4.13 | 26 | 8,897,861 | 8,554,455 | 3.86 | 8,714,123 | 2.06 | 27 | 7,840,787 | 8,535,617 | 8.86 | 8,863,975 | 13.05 | 28 | 8,023,067 | 7,666,898 | 4.44 | 6,900,068 | 14.00 | 29 | 7,495,213 | 7,270,806 | 2.99 | 7,695,613 | 2.67 | 30 | 7,653,005 | 8,003,292 | 4.58 | 7,775,139 | 1.60 |
| MAERs | | 6.05 | | 5.80 |
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