* new training set, 4 iterations, 30 mins wlimit/020501 191.64 191.64 31 10000 191.64 1.92% wlimit/020503 974.66 783.02 28 7000 487.33 6.55% wlimit/020506 1446.39 471.73 73 10000 482.13 5.94% wlimit/020507 1730.51 284.12 95 10000 432.63 5.17% wlimit/020508 1316.05 -414.45 49 10000 263.21 3.30% wlimit/020509 1130.28 -185.78 20 10000 188.38 2.44% wlimit/020510 1615.93 485.66 35 10000 230.85 2.79% wlimit/020513 1639.21 23.27 36 10000 204.90 2.47% wlimit/020514 1479.49 -159.72 113 10000 164.39 2.02% wlimit/020516 2155.66 676.17 41 10000 215.57 2.49% wlimit/020517 2059.92 -95.74 47 10000 187.27 2.18% wlimit/020520 2324.45 264.53 41 10000 193.70 2.22% wlimit/020521 2526.91 202.46 29 6000 194.38 2.31% * new training set, 4 iterations, 30 mins wlimit/020522 2400.44 -126.47 31 9000 171.46 2.04% wlimit/020523 2740.53 340.09 23 3000 182.70 2.66% wlimit/020524 2891.48 150.95 27 6000 180.72 2.65% wlimit/020529 3930.03 1038.55 23 10000 231.18 3.11% wlimit/020530 4123.25 193.22 21 6000 229.07 3.11% wlimit/020531 4136.84 13.59 9 4000 217.73 2.97% wlimit/020603 4459.87 323.04 31 8000 222.99 3.02% wlimit/020604 4817.97 358.09 56 9000 229.43 3.07% wlimit/020606 4621.38 -196.58 39 10000 210.06 2.84% wlimit/020610 4133.69 -487.69 43 10000 179.73 2.50% wlimit/020611 4355.19 221.50 28 5000 181.47 2.58% wlimit/020612 4330.35 -24.84 63 10000 173.21 2.47% wlimit/020613 4411.61 81.26 15 3000 169.68 2.48% wlimit/020614 4492.78 81.16 18 5000 166.40 2.45% wlimit/020617 4696.35 203.57 19 6000 167.73 2.48% wlimit/020618 4772.69 76.35 13 4000 164.58 2.46% wlimit/020619 4879.91 107.21 29 10000 162.66 2.41% wlimit/020620 4880.62 0.72 31 9000 157.44 2.34% * new training set, 4 iterations, 30 mins wlimit/020701 5106.08 225.46 76 10000 159.56 2.33% wlimit/020702 5751.07 644.99 71 10000 174.27 2.46% wlimit/020703 6122.71 371.64 79 10000 180.08 2.50% wlimit/020705 6136.87 14.16 29 10000 175.34 2.43% wlimit/020708 7303.11 1166.24 65 10000 202.86 2.69% wlimit/020709 7364.54 61.43 11 4000 199.04 2.65% wlimit/020711 7919.33 554.79 123 10000 208.40 2.73% wlimit/020715 7894.53 -24.80 90 10000 202.42 2.65% wlimit/020716 8267.98 373.45 35 10000 206.70 2.68% wlimit/020717 8523.39 255.41 41 10000 207.89 2.68% wlimit/020718 8558.52 35.13 30 5000 203.77 2.63% wlimit/020719 8534.04 -24.48 27 7000 198.47 2.56% * partial training set, 3 iterations, 30 mins wlimit/021210 8534.04 0.00 0 0 193.96 2.50% * new training set, 4 iterations, 30 mins wlimit/021211 8554.90 20.86 10 5000 190.11 2.46% wlimit/021212 8554.90 0.00 1 1000 185.98 2.40% wlimit/021213 8558.30 3.40 6 2000 182.09 2.36% wlimit/021216 8654.37 96.07 4 1000 180.30 2.51% wlimit/021217 8692.64 38.27 4 2000 177.40 2.49% wlimit/021218 8705.52 12.88 5 2000 174.11 2.46% wlimit/021219 8705.52 0.00 3 1000 170.70 2.41% * partial training set, 2 iterations, 30 mins wlimit/021220 8764.34 58.81 5 1000 168.54 2.48% * new training set, 4 iterations, 30 mins wlimit/021223 33.70 33.70 7 3000 33.70 1.12% wlimit/021224 147.86 114.16 7 2000 73.93 3.42% wlimit/021226 152.99 5.13 2 2000 51.00 2.36% wlimit/021227 168.37 15.38 1 1000 42.09 2.16% wlimit/021230 175.88 7.51 4 1000 35.18 1.88% wlimit/021231 130.46 -45.42 13 3000 21.74 1.31%