* new training set, 4 iterations, 30 mins wlimit/020501 432.77 432.77 68 10000 432.77 4.33% wlimit/020503 2261.63 1828.86 93 10000 1130.82 11.31% wlimit/020506 2606.68 345.04 197 10000 868.89 8.69% wlimit/020507 2921.05 314.37 209 10000 730.26 7.30% wlimit/020508 2726.31 -194.74 90 10000 545.26 5.45% wlimit/020509 2511.49 -214.81 31 10000 418.58 4.19% wlimit/020510 2767.17 255.68 82 10000 395.31 3.95% wlimit/020513 2341.79 -425.38 97 10000 292.72 2.93% wlimit/020514 2171.81 -169.98 197 10000 241.31 2.41% wlimit/020516 3052.48 880.66 113 10000 305.25 3.05% wlimit/020517 2986.97 -65.50 81 10000 271.54 2.72% wlimit/020520 3527.27 540.30 69 10000 293.94 2.94% wlimit/020521 3819.90 292.62 63 10000 293.84 2.94% * new training set, 4 iterations, 30 mins wlimit/020522 4111.40 291.51 85 10000 293.67 2.94% wlimit/020523 4707.75 596.35 60 8000 313.85 3.24% wlimit/020524 4974.22 266.47 57 7000 310.89 3.27% wlimit/020529 6152.05 1177.83 28 10000 361.89 3.77% wlimit/020530 6340.33 188.28 35 9000 352.24 3.68% wlimit/020531 6422.25 81.92 18 5000 338.01 3.57% wlimit/020603 6935.22 512.97 53 10000 346.76 3.65% wlimit/020604 7258.91 323.69 118 10000 345.66 3.63% wlimit/020606 6993.35 -265.57 87 10000 317.88 3.35% wlimit/020610 6029.57 -963.78 83 10000 262.16 2.78% wlimit/020611 6281.99 252.42 77 10000 261.75 2.77% wlimit/020612 6651.45 369.47 153 10000 266.06 2.81% wlimit/020613 6887.05 235.60 34 7000 264.89 2.83% wlimit/020614 6837.87 -49.18 63 10000 253.25 2.71% wlimit/020617 7197.63 359.76 46 10000 257.06 2.74% wlimit/020618 7459.10 261.46 62 10000 257.21 2.73% wlimit/020619 7760.01 300.91 77 10000 258.67 2.74% wlimit/020620 7669.24 -90.77 93 10000 247.39 2.62% * new training set, 4 iterations, 30 mins wlimit/020701 8261.47 592.23 159 10000 258.17 2.73% wlimit/020702 9263.98 1002.51 121 10000 280.73 2.95% wlimit/020703 9899.91 635.93 208 10000 291.17 3.05% wlimit/020705 10176.79 276.88 76 10000 290.77 3.04% wlimit/020708 11086.93 910.14 97 10000 307.97 3.21% wlimit/020709 11216.56 129.63 55 6000 303.15 3.18% wlimit/020711 11478.80 262.24 198 10000 302.07 3.17% wlimit/020715 11404.17 -74.63 176 10000 292.41 3.07% wlimit/020716 11853.39 449.22 52 10000 296.33 3.10% wlimit/020717 12135.44 282.04 94 10000 295.99 3.09% wlimit/020718 12245.14 109.70 64 9000 291.55 3.05% wlimit/020719 12171.01 -74.13 52 10000 283.05 2.96% * partial training set, 3 iterations, 30 mins wlimit/021210 12292.19 121.18 2 1000 279.37 3.17% * new training set, 4 iterations, 30 mins wlimit/021211 12532.20 240.01 29 6000 278.49 3.19% wlimit/021212 12555.36 23.16 20 9000 272.94 3.12% wlimit/021213 12558.77 3.41 11 3000 267.21 3.06% wlimit/021216 12700.62 141.85 16 4000 264.60 3.07% wlimit/021217 12746.73 46.11 6 2000 260.14 3.06% wlimit/021218 12919.11 172.38 25 4000 258.38 3.08% wlimit/021219 12964.94 45.83 6 2000 254.21 3.06% * partial training set, 2 iterations, 30 mins wlimit/021220 13173.63 208.69 23 7000 253.34 3.06% * new training set, 4 iterations, 30 mins wlimit/021223 56.89 56.89 17 5000 56.89 1.14% wlimit/021224 266.24 209.35 13 4000 133.12 3.19% wlimit/021226 288.52 22.29 4 4000 96.17 2.31% wlimit/021227 294.05 5.52 4 1000 73.51 1.87% wlimit/021230 375.92 81.87 14 3000 75.18 2.04% wlimit/021231 472.28 96.36 24 6000 78.71 1.97%