* new training set, 4 iterations, 30 mins 020501 6.02 6.02 1000 6.02 020503 47.18 41.15 2000 23.59 020506 16.06 -31.11 1000 5.35 020507 93.93 77.86 5000 23.48 020508 77.91 -16.01 3000 15.58 020509 66.80 -11.11 2000 11.13 020510 66.80 0.00 0 9.54 020513 97.27 30.47 1000 12.16 020514 184.01 86.74 2000 20.45 020516 159.22 -24.80 1000 15.92 020517 123.45 -35.77 2000 11.22 020520 135.73 12.28 2000 11.31 020521 135.73 0.00 0 10.44 * new training set, 4 iterations, 30 mins 020522 -2.10 -2.10 1000 -2.10 020523 -2.10 0.00 0 -1.05 020524 -15.81 -13.71 1000 -5.27 020529 287.53 303.34 2000 71.88 020530 341.45 53.92 1000 68.29 020531 341.45 0.00 0 56.91 020603 483.32 141.88 2000 69.05 020604 578.41 95.08 3000 72.30 020606 437.85 -140.56 3000 48.65 020610 381.53 -56.31 2000 38.15 020611 381.53 0.00 0 34.68 020612 410.86 29.33 3000 34.24 020613 410.86 0.00 0 31.60 020614 400.43 -10.43 1000 28.60 020617 394.28 -6.15 1000 26.29 020618 394.28 0.00 0 24.64 020619 394.28 0.00 0 23.19 020620 415.94 21.66 2000 23.11 * retraining in progress...(ignore results) 020621 1885.06 1885.06 38000 1885.06 020624 2680.04 794.98 48000 1340.02 020625 4567.83 1887.79 50000 1522.61 020626 5033.73 465.89 255000 1258.43 020627 10066.65 5032.92 257000 2013.33 020628 10927.33 860.68 206000 1821.22 * new training set, 4 iterations, 30 mins 020701 -1.48 -1.48 1000 -1.48 020702 85.76 87.24 3000 42.88 020703 116.81 31.04 6000 38.94 020705 153.80 36.99 1000 38.45 020708 136.78 -17.02 5000 27.36 020709 136.78 0.00 0 22.80 020711 80.47 -56.31 3000 11.50 020715 67.75 -12.72 3000 8.47 020716 96.18 28.43 3000 10.69 020717 105.66 9.48 3000 10.57 020718 105.66 0.00 0 9.61 020719 105.66 0.00 0 8.80 * retraining in progress...(ignore results) 020722 10.39 10.39 2000 10.39 020723 0.96 -9.43 1000 0.48 020724 42.40 41.45 1000 14.13 020725 74.81 32.41 1000 18.70 020726 74.81 0.00 0 14.96 020730 67.73 -7.08 1000 11.29 020731 16.72 -51.02 1000 2.39 020801 16.72 0.00 1000 2.09 020806 132.13 115.41 1000 14.68 020807 117.88 -14.25 2000 11.79 020808 164.21 46.33 1000 14.93 * new training set, 1 iteration, 30 mins 020809 -9.06 -9.06 2000 -9.06 020812 -9.06 0.00 0 -4.53 020813 -16.97 -7.91 1000 -5.66 020814 -26.75 -9.78 1000 -6.69 020816 -23.42 3.32 1000 -4.68 020819 20.39 43.81 4000 3.40 020820 9.88 -10.51 1000 1.41 020821 12.51 2.62 3000 1.56 020822 -11.15 -23.66 6000 -1.24 020823 -1.58 9.57 1000 -0.16 020826 14.14 15.72 1000 1.29 020828 8.45 -5.69 3000 0.70 020829 28.66 20.21 1000 2.20 020903 25.07 -3.60 1000 1.79 020904 25.07 0.00 0 1.67 020905 25.07 0.00 0 1.57 020906 -52.73 -77.80 2000 -3.10 020916 -60.10 -7.36 3000 -3.34 020917 -56.51 3.58 1000 -2.97 020918 -56.51 0.00 0 -2.83 020919 -105.97 -49.45 3000 -5.05 020920 -105.97 0.00 0 -4.82 020923 -105.97 0.00 0 -4.61 020924 -121.82 -15.85 1000 -5.08 020925 -124.64 -2.82 1000 -4.99 020926 -124.64 0.00 0 -4.79 020927 -127.69 -3.05 1000 -4.73 020930 -137.30 -9.61 1000 -4.90 021001 -137.30 0.00 0 -4.73 021002 -36.97 100.33 5000 -1.23 021003 -36.97 0.00 0 -1.19 021004 -65.34 -28.37 2000 -2.04 021007 -9.80 55.54 2000 -0.30 021008 -9.80 0.00 0 -0.29 021009 44.62 54.42 1000 1.27 021010 72.85 28.23 2000 2.02 021011 66.75 -6.10 2000 1.80 021014 84.46 17.72 4000 2.22 021015 85.59 1.13 3000 2.19 021016 88.46 2.87 1000 2.21 021017 103.88 15.42 2000 2.53 021018 78.73 -25.15 2000 1.87 * new training set, 1 iteration, 60 mins 021021 0.00 0.00 0 0.00 021022 65.36 65.36 2000 32.68 021023 44.82 -20.54 2000 14.94 021024 44.82 0.00 0 11.21 021025 126.73 81.90 2000 25.35 021028 55.04 -71.69 5000 9.17 021029 55.04 0.00 0 7.86 021030 55.04 0.00 0 6.88 021031 55.04 0.00 0 6.12 021101 22.64 -32.39 6000 2.26 021104 22.61 -0.04 1000 2.06 * new training set, 1 iteration, 60 mins 021105 14.65 14.65 1000 14.65 021106 13.02 -1.63 1000 6.51 021107 23.62 10.60 1000 7.87 021108 70.49 46.88 2000 17.62 021111 86.77 16.28 2000 17.35 021112 86.77 0.00 0 14.46 021113 83.56 -3.22 1000 11.94 021114 83.56 0.00 1000 10.44 021115 99.20 15.64 1000 11.02 021118 78.55 -20.64 3000 7.86 021119 78.55 0.00 0 7.14 021120 122.93 44.37 1000 10.24 021121 106.85 -16.08 2000 8.22 021122 -11.77 -118.62 12000 -0.84 021125 204.05 215.82 8000 13.60 021126 198.32 -5.73 2000 12.40 021127 202.21 3.88 1000 11.89 021129 167.00 -35.21 1000 9.28 021202 167.00 0.00 0 8.79 021203 183.70 16.70 1000 9.18 021204 202.97 19.27 1000 9.67 021205 174.42 -28.55 1000 7.93 021206 174.42 0.00 0 7.58