* new training set, 4 iterations, 30 mins wlimit/020501 876.10 876.10 68 10000 876.10 8.76% wlimit/020503 2761.14 1885.04 93 10000 1380.57 13.81% wlimit/020506 2622.29 -138.85 197 10000 874.10 8.74% wlimit/020507 2712.22 89.93 209 10000 678.06 6.78% wlimit/020508 2132.23 -580.00 90 10000 426.45 4.26% wlimit/020509 1741.63 -390.60 31 10000 290.27 2.90% wlimit/020510 2130.73 389.09 82 10000 304.39 3.04% wlimit/020513 1823.70 -307.03 97 10000 227.96 2.28% wlimit/020514 1762.36 -61.34 197 10000 195.82 1.96% wlimit/020516 2534.86 772.50 113 10000 253.49 2.53% wlimit/020517 1835.73 -699.13 81 10000 166.88 1.67% wlimit/020520 2048.31 212.58 69 10000 170.69 1.71% wlimit/020521 2563.61 515.29 63 10000 197.20 1.97% * new training set, 4 iterations, 30 mins wlimit/020522 2867.82 304.21 85 10000 204.84 2.05% wlimit/020523 3251.79 383.98 60 10000 216.79 2.17% wlimit/020524 3601.25 349.46 57 10000 225.08 2.25% wlimit/020529 5522.69 1921.44 28 10000 324.86 3.25% wlimit/020530 5672.99 150.30 35 10000 315.17 3.15% wlimit/020531 5735.81 62.82 18 7000 301.88 3.03% wlimit/020603 6494.68 758.88 53 10000 324.73 3.26% wlimit/020604 6579.53 84.85 118 10000 313.31 3.15% wlimit/020606 6059.75 -519.78 87 10000 275.44 2.77% wlimit/020610 5179.63 -880.12 83 10000 225.20 2.26% wlimit/020611 5101.11 -78.53 77 10000 212.55 2.14% wlimit/020612 6665.47 1564.36 153 10000 266.62 2.68% wlimit/020613 6722.45 56.98 34 10000 258.56 2.60% wlimit/020614 6997.18 274.73 63 10000 259.15 2.60% wlimit/020617 7368.96 371.77 46 10000 263.18 2.64% wlimit/020618 7673.21 304.25 62 10000 264.59 2.66% wlimit/020619 8117.22 444.01 77 10000 270.57 2.71% wlimit/020620 8232.56 115.34 93 10000 265.57 2.66% * new training set, 4 iterations, 30 mins wlimit/020701 9136.02 903.46 159 10000 285.50 2.86% wlimit/020702 10775.75 1639.73 121 10000 326.54 3.27% wlimit/020703 11216.19 440.44 208 10000 329.89 3.31% wlimit/020705 11913.05 696.86 76 10000 340.37 3.41% wlimit/020708 13080.78 1167.73 97 10000 363.36 3.64% wlimit/020709 13196.75 115.97 55 8000 356.67 3.58% wlimit/020711 13669.12 472.37 198 10000 359.71 3.61% wlimit/020715 13700.80 31.68 176 10000 351.30 3.53% wlimit/020716 14107.80 407.00 52 10000 352.70 3.54% wlimit/020717 14619.80 512.00 94 10000 356.58 3.58% wlimit/020718 14975.92 356.12 64 10000 356.57 3.58% wlimit/020719 14800.31 -175.61 52 10000 344.19 3.45% * partial training set, 3 iterations, 30 mins wlimit/021210 14892.72 92.40 2 1000 338.47 3.59% * new training set, 4 iterations, 30 mins wlimit/021211 15242.25 349.54 29 10000 338.72 3.58% wlimit/021212 15294.96 52.71 20 10000 332.50 3.52% wlimit/021213 15292.31 -2.66 11 4000 325.37 3.44% wlimit/021216 15401.18 108.87 16 7000 320.86 3.40% wlimit/021217 15426.04 24.86 6 4000 314.82 3.35% wlimit/021218 15578.95 152.91 25 6000 311.58 3.33% wlimit/021219 15634.17 55.22 6 2000 306.55 3.32% * partial training set, 2 iterations, 30 mins wlimit/021220 15725.81 91.64 23 10000 302.42 3.27% * new training set, 4 iterations, 30 mins wlimit/021223 86.50 86.50 17 5000 86.50 1.73% wlimit/021224 236.16 149.66 13 5000 118.08 2.36% wlimit/021226 320.12 83.97 4 4000 106.71 2.27% wlimit/021227 354.08 33.96 4 2000 88.52 2.13% wlimit/021230 538.25 184.17 14 4000 107.65 2.62% wlimit/021231 619.41 81.16 24 7000 103.23 2.38%