* new training set, 4 iterations, 30 mins wlimit/020501 139.13 139.13 31 5000 139.13 2.78% wlimit/020503 878.67 739.54 28 5000 439.33 8.79% wlimit/020506 1411.69 533.02 73 5000 470.56 9.41% wlimit/020507 1712.86 301.17 95 5000 428.21 8.56% wlimit/020508 1660.73 -52.13 49 5000 332.15 6.64% wlimit/020509 1535.40 -125.33 20 5000 255.90 5.12% wlimit/020510 1905.53 370.13 35 5000 272.22 5.44% wlimit/020513 1736.01 -169.52 36 5000 217.00 4.34% wlimit/020514 1467.54 -268.47 113 5000 163.06 3.26% wlimit/020516 1973.51 505.97 41 5000 197.35 3.95% wlimit/020517 2005.06 31.54 47 5000 182.28 3.65% wlimit/020520 2215.18 210.12 41 5000 184.60 3.69% wlimit/020521 2408.74 193.56 29 5000 185.29 3.71% * new training set, 4 iterations, 30 mins wlimit/020522 2271.35 -137.40 31 5000 162.24 3.24% wlimit/020523 2611.44 340.09 23 3000 174.10 3.78% wlimit/020524 2735.09 123.65 27 5000 170.94 3.70% wlimit/020529 3198.10 463.01 23 5000 188.12 4.03% wlimit/020530 3393.94 195.84 21 5000 188.55 4.02% wlimit/020531 3407.53 13.59 9 4000 179.34 3.83% wlimit/020603 3683.88 276.35 31 5000 184.19 3.91% wlimit/020604 4065.11 381.23 56 5000 193.58 4.09% wlimit/020606 4028.48 -36.62 39 5000 183.11 3.87% wlimit/020610 3611.92 -416.56 43 5000 157.04 3.34% wlimit/020611 3833.43 221.50 28 5000 159.73 3.39% wlimit/020612 3801.70 -31.73 63 5000 152.07 3.23% wlimit/020613 3882.96 81.26 15 3000 149.34 3.21% wlimit/020614 3964.12 81.16 18 5000 146.82 3.15% wlimit/020617 4163.77 199.65 19 5000 148.71 3.18% wlimit/020618 4240.11 76.35 13 4000 146.21 3.13% wlimit/020619 4420.43 180.32 29 5000 147.35 3.15% wlimit/020620 4450.83 30.40 31 5000 143.58 3.07% * new training set, 4 iterations, 30 mins wlimit/020701 4605.48 154.65 76 5000 143.92 3.07% wlimit/020702 5194.55 589.07 71 5000 157.41 3.33% wlimit/020703 5447.32 252.77 79 5000 160.22 3.38% wlimit/020705 5347.75 -99.57 29 5000 152.79 3.23% wlimit/020708 5883.55 535.80 65 5000 163.43 3.44% wlimit/020709 5944.98 61.43 11 4000 160.68 3.39% wlimit/020711 6416.28 471.30 123 5000 168.85 3.54% wlimit/020715 6389.14 -27.14 90 5000 163.82 3.44% wlimit/020716 6714.91 325.76 35 5000 167.87 3.52% wlimit/020717 6905.69 190.78 41 5000 168.43 3.52% wlimit/020718 6940.82 35.13 30 5000 165.26 3.46% wlimit/020719 6906.46 -34.35 27 5000 160.62 3.36% * partial training set, 3 iterations, 30 mins wlimit/021210 6906.46 0.00 0 0 156.97 3.28% * new training set, 4 iterations, 30 mins wlimit/021211 6927.32 20.86 10 5000 153.94 3.22% wlimit/021212 6927.32 0.00 1 1000 150.59 3.15% wlimit/021213 6930.72 3.40 6 2000 147.46 3.09% wlimit/021216 7026.79 96.07 4 1000 146.39 3.22% wlimit/021217 7065.06 38.27 4 2000 144.18 3.20% wlimit/021218 7077.94 12.88 5 2000 141.56 3.15% wlimit/021219 7077.94 0.00 3 1000 138.78 3.08% * partial training set, 2 iterations, 30 mins wlimit/021220 7136.75 58.81 5 1000 137.25 3.14% * 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%