* new training set, 4 iterations, 30 mins wlimit/020501 671.62 671.62 68 10000 671.62 6.72% wlimit/020503 2362.01 1690.39 93 10000 1181.01 11.81% wlimit/020506 2376.74 14.73 197 10000 792.25 7.92% wlimit/020507 2536.76 160.02 209 10000 634.19 6.34% wlimit/020508 1811.46 -725.30 90 10000 362.29 3.62% wlimit/020509 1375.91 -435.56 31 10000 229.32 2.29% wlimit/020510 1851.44 475.53 82 10000 264.49 2.64% wlimit/020513 1553.65 -297.79 97 10000 194.21 1.94% wlimit/020514 1434.28 -119.37 197 10000 159.36 1.59% wlimit/020516 2068.73 634.45 113 10000 206.87 2.07% wlimit/020517 1780.96 -287.77 81 10000 161.91 1.62% wlimit/020520 2043.31 262.35 69 10000 170.28 1.70% wlimit/020521 2217.99 174.68 63 10000 170.61 1.71% * new training set, 4 iterations, 30 mins wlimit/020522 2702.55 484.56 85 10000 193.04 1.93% wlimit/020523 3529.48 826.94 60 10000 235.30 2.35% wlimit/020524 3791.97 262.49 57 10000 237.00 2.37% wlimit/020529 5294.33 1502.36 28 10000 311.43 3.11% wlimit/020530 5760.26 465.93 35 10000 320.01 3.20% wlimit/020531 5874.20 113.94 18 6000 309.17 3.13% wlimit/020603 6515.79 641.59 53 10000 325.79 3.30% wlimit/020604 6666.90 151.11 118 10000 317.47 3.21% wlimit/020606 6549.55 -117.35 87 10000 297.71 3.01% wlimit/020610 5588.17 -961.38 83 10000 242.96 2.46% wlimit/020611 5915.55 327.38 77 10000 246.48 2.50% wlimit/020612 6701.70 786.14 153 10000 268.07 2.71% wlimit/020613 6975.34 273.64 34 7000 268.28 2.76% wlimit/020614 6976.13 0.79 63 10000 258.38 2.66% wlimit/020617 7352.52 376.39 46 10000 262.59 2.69% wlimit/020618 7774.19 421.67 62 10000 268.08 2.75% wlimit/020619 8270.79 496.60 77 10000 275.69 2.82% wlimit/020620 8261.60 -9.20 93 10000 266.50 2.73% * new training set, 4 iterations, 30 mins wlimit/020701 8749.39 487.79 159 10000 273.42 2.79% wlimit/020702 10131.40 1382.01 121 10000 307.01 3.13% wlimit/020703 10621.97 490.57 208 10000 312.41 3.18% wlimit/020705 11103.34 481.37 76 10000 317.24 3.23% wlimit/020708 12172.63 1069.29 97 10000 338.13 3.43% wlimit/020709 12349.53 176.91 55 7000 333.77 3.41% wlimit/020711 13264.63 915.10 198 10000 349.07 3.56% wlimit/020715 13310.59 45.96 176 10000 341.30 3.48% wlimit/020716 13862.03 551.44 52 10000 346.55 3.53% wlimit/020717 14180.37 318.35 94 10000 345.86 3.52% wlimit/020718 14289.24 108.86 64 10000 340.22 3.47% wlimit/020719 14300.64 11.40 52 10000 332.57 3.39% * partial training set, 3 iterations, 30 mins wlimit/021210 14414.63 113.99 2 1000 327.61 3.57% * new training set, 4 iterations, 30 mins wlimit/021211 14716.73 302.10 29 10000 327.04 3.56% wlimit/021212 14696.14 -20.58 20 10000 319.48 3.48% wlimit/021213 14706.08 9.94 11 3000 312.90 3.41% wlimit/021216 14849.69 143.60 16 5000 309.37 3.40% wlimit/021217 14893.99 44.30 6 3000 303.96 3.36% wlimit/021218 15099.20 205.21 25 6000 301.98 3.36% wlimit/021219 15166.30 67.11 6 2000 297.38 3.36% * partial training set, 2 iterations, 30 mins wlimit/021220 15258.87 92.56 23 8000 293.44 3.32% * new training set, 4 iterations, 30 mins wlimit/021223 64.14 64.14 17 5000 64.14 1.28% wlimit/021224 272.08 207.94 13 5000 136.04 2.72% wlimit/021226 278.95 6.87 4 4000 92.98 1.87% wlimit/021227 278.07 -0.87 4 2000 69.52 1.39% wlimit/021230 436.89 158.82 14 3000 87.38 2.17% wlimit/021231 427.49 -9.40 24 6000 71.25 1.78%