* new training set, 4 iterations, 30 mins wlimit/020501 744.59 744.59 31 10000 744.59 7.45% wlimit/020503 1887.38 1142.79 28 8000 943.69 10.87% wlimit/020506 1878.50 -8.87 73 10000 626.17 7.21% wlimit/020507 2090.19 211.69 95 10000 522.55 5.94% wlimit/020508 1632.80 -457.39 49 10000 326.56 3.84% wlimit/020509 1318.37 -314.43 20 10000 219.73 2.67% wlimit/020510 1960.33 641.96 35 10000 280.05 3.21% wlimit/020513 2084.87 124.54 36 10000 260.61 2.96% wlimit/020514 1786.54 -298.33 113 10000 198.50 2.30% wlimit/020516 2257.05 470.51 41 10000 225.71 2.54% wlimit/020517 1599.76 -657.29 47 10000 145.43 1.71% wlimit/020520 1606.55 6.79 41 10000 133.88 1.58% wlimit/020521 1884.86 278.31 29 8000 144.99 1.72% * new training set, 4 iterations, 30 mins wlimit/020522 1960.53 75.67 31 10000 140.04 1.65% wlimit/020523 2306.21 345.68 23 5000 153.75 2.00% wlimit/020524 2533.36 227.15 27 9000 158.33 2.04% wlimit/020529 4113.35 1579.99 23 10000 241.96 2.85% wlimit/020530 4138.31 24.97 21 9000 229.91 2.70% wlimit/020531 4118.05 -20.27 9 6000 216.74 2.54% wlimit/020603 4821.71 703.66 31 10000 241.09 2.77% wlimit/020604 5621.98 800.27 56 10000 267.71 3.02% wlimit/020606 5127.90 -494.08 39 10000 233.09 2.66% wlimit/020610 4458.46 -669.44 43 10000 193.85 2.25% wlimit/020611 4487.26 28.81 28 8000 186.97 2.17% wlimit/020612 5454.83 967.56 63 10000 218.19 2.47% wlimit/020613 5501.65 46.82 15 5000 211.60 2.41% wlimit/020614 5731.15 229.50 18 10000 212.26 2.41% wlimit/020617 5986.99 255.85 19 9000 213.82 2.42% wlimit/020618 5915.57 -71.42 13 4000 203.99 2.28% wlimit/020619 5954.93 39.36 29 10000 198.50 2.22% wlimit/020620 6309.57 354.64 31 10000 203.53 2.26% * new training set, 4 iterations, 30 mins wlimit/020701 6753.65 444.08 76 10000 211.05 2.33% wlimit/020702 7913.16 1159.51 71 10000 239.79 2.61% wlimit/020703 8316.60 403.44 79 10000 244.61 2.65% wlimit/020705 8883.12 566.52 29 10000 253.80 2.74% wlimit/020708 10517.96 1634.84 65 10000 292.17 3.11% wlimit/020709 10548.71 30.75 11 4000 285.10 3.05% wlimit/020711 11357.57 808.86 123 10000 298.88 3.18% wlimit/020715 11460.71 103.14 90 10000 293.86 3.13% wlimit/020716 11868.49 407.78 35 10000 296.71 3.15% wlimit/020717 12109.82 241.33 41 10000 295.36 3.13% wlimit/020718 12385.86 276.05 30 10000 294.90 3.12% wlimit/020719 12407.05 21.18 27 10000 288.54 3.06% * partial training set, 3 iterations, 30 mins wlimit/021210 12407.05 0.00 0 0 281.98 2.99% * new training set, 4 iterations, 30 mins wlimit/021211 12427.97 20.93 10 5000 276.18 2.93% wlimit/021212 12427.97 0.00 1 1000 270.17 2.87% wlimit/021213 12425.32 -2.66 6 3000 264.37 2.80% wlimit/021216 12503.42 78.10 4 1000 260.49 2.91% wlimit/021217 12528.28 24.86 4 2000 255.68 2.87% wlimit/021218 12534.63 6.35 5 2000 250.69 2.82% wlimit/021219 12534.63 0.00 3 2000 245.78 2.77% * partial training set, 2 iterations, 30 mins wlimit/021220 12588.67 54.03 5 1000 242.09 2.82% * new training set, 4 iterations, 30 mins wlimit/021223 85.34 85.34 7 3000 85.34 2.84% wlimit/021224 194.33 108.99 7 4000 97.16 2.78% wlimit/021226 219.97 25.64 2 2000 73.32 2.28% wlimit/021227 235.35 15.38 1 1000 58.84 2.10% wlimit/021230 297.11 61.75 4 1000 59.42 2.91% wlimit/021231 281.16 -15.95 13 3000 46.86 2.34%