* new training set, 4 iterations, 30 mins wlimit/020501 480.58 480.58 31 10000 480.58 4.81% wlimit/020503 1444.39 963.80 28 7000 722.19 9.29% wlimit/020506 1670.86 226.48 73 10000 556.95 6.95% wlimit/020507 1666.05 -4.81 95 10000 416.51 5.20% wlimit/020508 1261.70 -404.36 49 10000 252.34 3.35% wlimit/020509 855.26 -406.43 20 10000 142.54 2.11% wlimit/020510 1771.99 916.73 35 10000 253.14 3.12% wlimit/020513 1875.59 103.59 36 10000 234.45 2.86% wlimit/020514 1579.20 -296.39 113 10000 175.47 2.21% wlimit/020516 2050.90 471.70 41 10000 205.09 2.46% wlimit/020517 1903.68 -147.22 47 10000 173.06 2.11% wlimit/020520 1914.43 10.75 41 10000 159.54 1.94% wlimit/020521 2042.63 128.20 29 8000 157.13 1.91% * new training set, 4 iterations, 30 mins wlimit/020522 2022.49 -20.15 31 10000 144.46 1.76% wlimit/020523 2476.94 454.46 23 4000 165.13 2.40% wlimit/020524 2629.88 152.93 27 6000 164.37 2.41% wlimit/020529 3882.08 1252.20 23 10000 228.36 3.01% wlimit/020530 4150.76 268.69 21 8000 230.60 3.03% wlimit/020531 4172.07 21.31 9 5000 219.58 2.89% wlimit/020603 4614.93 442.86 31 10000 230.75 2.97% wlimit/020604 5181.31 566.38 56 10000 246.73 3.09% wlimit/020606 4955.31 -226.00 39 10000 225.24 2.85% wlimit/020610 4317.31 -637.99 43 10000 187.71 2.45% wlimit/020611 4510.51 193.19 28 6000 187.94 2.48% wlimit/020612 4940.69 430.18 63 10000 197.63 2.55% wlimit/020613 5005.37 64.68 15 3000 192.51 2.54% wlimit/020614 5139.40 134.04 18 7000 190.35 2.52% wlimit/020617 5344.48 205.07 19 6000 190.87 2.55% wlimit/020618 5334.94 -9.54 13 4000 183.96 2.45% wlimit/020619 5477.39 142.46 29 10000 182.58 2.42% wlimit/020620 5675.52 198.12 31 10000 183.08 2.40% * new training set, 4 iterations, 30 mins wlimit/020701 5915.18 239.66 76 10000 184.85 2.40% wlimit/020702 6806.52 891.34 71 10000 206.26 2.60% wlimit/020703 7120.25 313.73 79 10000 209.42 2.62% wlimit/020705 7338.31 218.06 29 10000 209.67 2.60% wlimit/020708 8749.44 1411.13 65 10000 243.04 2.92% wlimit/020709 8797.30 47.86 11 4000 237.76 2.88% wlimit/020711 9708.50 911.20 123 10000 255.49 3.04% wlimit/020715 9807.01 98.51 90 10000 251.46 2.99% wlimit/020716 10266.98 459.96 35 10000 256.67 3.03% wlimit/020717 10472.45 205.47 41 10000 255.43 3.01% wlimit/020718 10542.80 70.35 30 10000 251.02 2.95% wlimit/020719 10565.24 22.44 27 10000 245.70 2.89% * partial training set, 3 iterations, 30 mins wlimit/021210 10565.24 0.00 0 0 240.12 2.82% * new training set, 4 iterations, 30 mins wlimit/021211 10590.64 25.40 10 5000 235.35 2.77% wlimit/021212 10590.64 0.00 1 1000 230.23 2.71% wlimit/021213 10597.43 6.79 6 3000 225.48 2.66% wlimit/021216 10681.04 83.60 4 1000 222.52 2.78% wlimit/021217 10717.49 36.46 4 2000 218.72 2.76% wlimit/021218 10739.82 22.33 5 2000 214.80 2.72% wlimit/021219 10739.82 0.00 3 2000 210.58 2.67% * partial training set, 2 iterations, 30 mins wlimit/021220 10794.87 55.05 5 1000 207.59 2.72% * new training set, 4 iterations, 30 mins wlimit/021223 71.12 71.12 7 3000 71.12 2.37% wlimit/021224 196.34 125.23 7 2000 98.17 4.32% wlimit/021226 196.34 0.00 2 2000 65.45 2.88% wlimit/021227 211.73 15.38 1 1000 52.93 2.54% wlimit/021230 242.97 31.24 4 1000 48.59 2.66% wlimit/021231 73.99 -168.99 13 3000 12.33 1.28%