* new training set, 4 iterations, 30 mins wlimit/020501 726.47 726.47 68 10000 726.47 7.26% wlimit/020503 2502.48 1776.01 93 10000 1251.24 12.51% wlimit/020506 2235.58 -266.90 197 10000 745.19 7.45% wlimit/020507 2464.33 228.76 209 10000 616.08 6.16% wlimit/020508 2168.58 -295.76 90 10000 433.72 4.34% wlimit/020509 1774.31 -394.26 31 10000 295.72 2.96% wlimit/020510 2197.58 423.27 82 10000 313.94 3.14% wlimit/020513 2054.38 -143.20 97 10000 256.80 2.57% wlimit/020514 2137.97 83.59 197 10000 237.55 2.38% wlimit/020516 2793.00 655.02 113 10000 279.30 2.79% wlimit/020517 2305.71 -487.29 81 10000 209.61 2.10% wlimit/020520 2644.02 338.31 69 10000 220.34 2.20% wlimit/020521 3085.89 441.87 63 10000 237.38 2.37% * new training set, 4 iterations, 30 mins wlimit/020522 3477.00 391.11 85 10000 248.36 2.48% wlimit/020523 4165.89 688.89 60 10000 277.73 2.78% wlimit/020524 4420.37 254.48 57 10000 276.27 2.76% wlimit/020529 6122.63 1702.26 28 10000 360.15 3.60% wlimit/020530 6419.42 296.79 35 10000 356.63 3.57% wlimit/020531 6542.44 123.02 18 7000 344.34 3.47% wlimit/020603 7278.07 735.63 53 10000 363.90 3.67% wlimit/020604 7441.13 163.06 118 10000 354.34 3.57% wlimit/020606 7146.88 -294.25 87 10000 324.86 3.27% wlimit/020610 6018.26 -1128.62 83 10000 261.66 2.64% wlimit/020611 6248.76 230.50 77 10000 260.37 2.63% wlimit/020612 7220.78 972.02 153 10000 288.83 2.91% wlimit/020613 7596.78 376.00 34 10000 292.18 2.94% wlimit/020614 7748.77 151.98 63 10000 286.99 2.89% wlimit/020617 8126.36 377.60 46 10000 290.23 2.92% wlimit/020618 8418.06 291.70 62 10000 290.28 2.92% wlimit/020619 8908.11 490.05 77 10000 296.94 2.99% wlimit/020620 8950.91 42.80 93 10000 288.74 2.90% * new training set, 4 iterations, 30 mins wlimit/020701 9714.14 763.24 159 10000 303.57 3.05% wlimit/020702 11300.26 1586.12 121 10000 342.43 3.44% wlimit/020703 11806.84 506.58 208 10000 347.26 3.49% wlimit/020705 12534.33 727.49 76 10000 358.12 3.60% wlimit/020708 13666.27 1131.94 97 10000 379.62 3.81% wlimit/020709 13841.72 175.45 55 7000 374.10 3.78% wlimit/020711 14266.65 424.93 198 10000 375.44 3.79% wlimit/020715 14344.39 77.74 176 10000 367.80 3.71% wlimit/020716 14820.04 475.65 52 10000 370.50 3.74% wlimit/020717 15261.86 441.82 94 10000 372.24 3.75% wlimit/020718 15451.16 189.30 64 10000 367.88 3.71% wlimit/020719 15400.30 -50.86 52 10000 358.15 3.61% * partial training set, 3 iterations, 30 mins wlimit/021210 15514.28 113.99 2 1000 352.60 3.79% * new training set, 4 iterations, 30 mins wlimit/021211 15897.25 382.97 29 10000 353.27 3.79% wlimit/021212 15947.46 50.21 20 10000 346.68 3.72% wlimit/021213 15953.35 5.89 11 3000 339.43 3.64% wlimit/021216 16090.93 137.58 16 6000 335.23 3.61% wlimit/021217 16138.17 47.24 6 4000 329.35 3.56% wlimit/021218 16340.12 201.95 25 6000 326.80 3.56% wlimit/021219 16384.33 44.21 6 2000 321.26 3.53% * partial training set, 2 iterations, 30 mins wlimit/021220 16538.07 153.74 23 9000 318.04 3.50% * new training set, 4 iterations, 30 mins wlimit/021223 35.47 35.47 17 5000 35.47 0.71% wlimit/021224 184.19 148.72 13 5000 92.10 1.84% wlimit/021226 170.50 -13.69 4 4000 56.83 1.11% wlimit/021227 204.46 33.96 4 2000 51.11 1.26% wlimit/021230 429.92 225.47 14 3000 85.98 2.51% wlimit/021231 370.39 -59.54 24 7000 61.73 1.95%