* new training set, 4 iterations, 30 mins wlimit/020501 298.65 298.65 31 5000 298.65 5.97% wlimit/020503 1343.71 1045.06 28 5000 671.85 13.44% wlimit/020506 1462.04 118.33 73 5000 487.35 9.75% wlimit/020507 1653.48 191.44 95 5000 413.37 8.27% wlimit/020508 1530.54 -122.94 49 5000 306.11 6.12% wlimit/020509 1309.88 -220.66 20 5000 218.31 4.37% wlimit/020510 1797.71 487.83 35 5000 256.82 5.14% wlimit/020513 1804.74 7.03 36 5000 225.59 4.51% wlimit/020514 1533.32 -271.42 113 5000 170.37 3.41% wlimit/020516 1866.15 332.83 41 5000 186.62 3.73% wlimit/020517 1811.12 -55.03 47 5000 164.65 3.29% wlimit/020520 2025.13 214.01 41 5000 168.76 3.38% wlimit/020521 2192.61 167.48 29 5000 168.66 3.37% * new training set, 4 iterations, 30 mins wlimit/020522 2182.14 -10.46 31 5000 155.87 3.12% wlimit/020523 2632.16 450.01 23 5000 175.48 3.51% wlimit/020524 2707.93 75.77 27 5000 169.25 3.38% wlimit/020529 3472.86 764.93 23 5000 204.29 4.09% wlimit/020530 3590.58 117.72 21 5000 199.48 3.99% wlimit/020531 3615.49 24.91 9 5000 190.29 3.81% wlimit/020603 3956.48 340.99 31 5000 197.82 3.96% wlimit/020604 4224.22 267.74 56 5000 201.15 4.02% wlimit/020606 4086.40 -137.82 39 5000 185.75 3.71% wlimit/020610 3655.90 -430.50 43 5000 158.95 3.18% wlimit/020611 3764.17 108.27 28 5000 156.84 3.14% wlimit/020612 4146.66 382.49 63 5000 165.87 3.32% wlimit/020613 4349.06 202.39 15 4000 167.27 3.38% wlimit/020614 4538.00 188.94 18 5000 168.07 3.40% wlimit/020617 4745.92 207.92 19 5000 169.50 3.43% wlimit/020618 4659.52 -86.40 13 4000 160.67 3.23% wlimit/020619 4938.45 278.93 29 5000 164.62 3.31% wlimit/020620 5127.59 189.14 31 5000 165.41 3.33% * new training set, 4 iterations, 30 mins wlimit/020701 5380.06 252.47 76 5000 168.13 3.38% wlimit/020702 6372.67 992.61 71 5000 193.11 3.88% wlimit/020703 6537.83 165.16 79 5000 192.29 3.86% wlimit/020705 6801.24 263.41 29 5000 194.32 3.90% wlimit/020708 7368.29 567.05 65 5000 204.67 4.11% wlimit/020709 7417.73 49.44 11 4000 200.48 4.03% wlimit/020711 8129.52 711.79 123 5000 213.93 4.30% wlimit/020715 8199.80 70.29 90 5000 210.25 4.23% wlimit/020716 8561.34 361.54 35 5000 214.03 4.30% wlimit/020717 8755.74 194.40 41 5000 213.55 4.29% wlimit/020718 8788.25 32.51 30 5000 209.24 4.20% wlimit/020719 8810.51 22.26 27 5000 204.90 4.12% * partial training set, 3 iterations, 30 mins wlimit/021210 8810.51 0.00 0 0 200.24 4.02% * new training set, 4 iterations, 30 mins wlimit/021211 8862.93 52.42 10 5000 196.95 3.96% wlimit/021212 8862.93 0.00 1 1000 192.67 3.87% wlimit/021213 8865.67 2.75 6 3000 188.63 3.79% wlimit/021216 8943.78 78.10 4 1000 186.33 3.87% wlimit/021217 8975.34 31.56 4 2000 183.17 3.83% wlimit/021218 9000.68 25.35 5 2000 180.01 3.78% wlimit/021219 9000.68 0.00 3 2000 176.48 3.70% * partial training set, 2 iterations, 30 mins wlimit/021220 9053.02 52.34 5 1000 174.10 3.73% * new training set, 4 iterations, 30 mins wlimit/021223 34.47 34.47 7 3000 34.47 1.15% wlimit/021224 122.97 88.49 7 2000 61.48 2.79% wlimit/021226 116.13 -6.84 2 2000 38.71 1.74% wlimit/021227 131.51 15.38 1 1000 32.88 1.69% wlimit/021230 205.80 74.28 4 1000 41.16 2.84% wlimit/021231 30.88 -174.92 13 3000 5.15 1.39%