* new training set, 4 iterations, 30 mins 020501 74.62 74.62 9000 74.62 020503 319.81 245.19 16000 159.91 020506 511.45 191.64 13000 170.48 020507 784.59 273.14 20000 196.15 020508 722.50 -62.09 9000 144.50 020509 610.28 -112.23 15000 101.71 020510 733.78 123.51 13000 104.83 020513 682.04 -51.74 21000 85.26 020514 1343.88 661.84 22000 149.32 020516 1503.49 159.61 9000 150.35 020517 1457.92 -45.57 7000 132.54 020520 1579.50 121.58 11000 131.62 020521 1658.10 78.60 6000 127.55 * new training set, 4 iterations, 30 mins 020522 157.62 157.62 13000 157.62 020523 223.68 66.05 10000 111.84 020524 357.44 133.76 12000 119.15 020529 944.39 586.95 9000 236.10 020530 1031.03 86.64 7000 206.21 020531 1077.36 46.33 4000 179.56 020603 1276.74 199.38 10000 182.39 020604 1660.71 383.98 10000 207.59 020606 1307.10 -353.61 16000 145.23 020610 1025.23 -281.87 12000 102.52 020611 859.46 -165.77 10000 78.13 020612 1590.05 730.59 13000 132.50 020613 1905.15 315.10 6000 146.55 020614 2031.63 126.48 12000 145.12 020617 2119.90 88.27 13000 141.33 020618 2190.88 70.98 19000 136.93 020619 2424.42 233.54 14000 142.61 020620 2475.36 50.94 19000 137.52 * retraining in progress...(ignore results) 020621 1821.67 1821.67 37000 1821.67 020624 2514.69 693.02 45000 1257.35 020625 4237.06 1722.37 40000 1412.35 020626 4693.40 456.34 53000 1173.35 020627 7301.14 2607.74 41000 1460.23 020628 7474.67 173.53 52000 1245.78 * new training set, 4 iterations, 30 mins 020701 348.81 348.81 11000 348.81 020702 507.40 158.58 18000 253.70 020703 1431.48 924.08 23000 477.16 020705 1883.67 452.19 14000 470.92 020708 2440.64 556.97 16000 488.13 020709 2513.90 73.26 5000 418.98 020711 2529.08 15.19 9000 361.30 020715 2651.90 122.82 12000 331.49 020716 2773.99 122.09 10000 308.22 020717 3174.72 400.72 13000 317.47 020718 3220.30 45.59 6000 292.75 020719 3226.38 6.07 7000 268.86 * retraining in progress...(ignore results) 020722 332.56 332.56 31000 332.56 020723 556.22 223.66 11000 278.11 020724 614.35 58.13 13000 204.78 020725 617.97 3.62 7000 154.49 020726 820.70 202.73 9000 164.14 020730 874.57 53.87 16000 145.76 020731 1064.56 189.99 11000 152.08 020801 1239.27 174.71 4000 154.91 020806 1128.65 -110.62 12000 125.41 020807 1360.68 232.03 17000 136.07 020808 1790.11 429.43 12000 162.74 * new training set, 1 iteration, 30 mins 020809 11.49 11.49 11000 11.49 020812 182.95 171.47 5000 91.48 020813 173.03 -9.92 7000 57.68 020814 200.97 27.94 13000 50.24 020816 425.97 225.00 12000 85.19 020819 718.35 292.38 17000 119.72 020820 1028.80 310.45 13000 146.97 020821 1609.27 580.47 16000 201.16 020822 2637.99 1028.72 38000 293.11 020823 2730.91 92.92 11000 273.09 020826 3015.77 284.86 17000 274.16 020828 2904.17 -111.60 10000 242.01 020829 3141.82 237.65 22000 241.68 020903 3085.85 -55.97 6000 220.42 020904 3070.44 -15.41 3000 204.70 020905 3078.44 8.00 3000 192.40 020906 3130.85 52.41 6000 184.17 020916 3078.47 -52.38 10000 171.03 020917 2983.01 -95.45 12000 157.00 020918 3135.08 152.07 8000 156.75 020919 3269.75 134.66 14000 155.70 020920 3374.62 104.87 8000 153.39 020923 3426.73 52.10 2000 148.99 020924 3364.85 -61.88 15000 140.20 020925 3528.34 163.50 8000 141.13 020926 3606.79 78.45 6000 138.72 020927 3749.42 142.63 6000 138.87 020930 3885.08 135.67 10000 138.75 021001 3899.78 14.70 12000 134.48 021002 4134.45 234.67 17000 137.82 021003 4418.96 284.50 17000 142.55 021004 4353.97 -64.99 20000 136.06 021007 5058.23 704.26 26000 153.28 021008 5271.97 213.74 6000 155.06 021009 5324.80 52.83 8000 152.14 021010 5967.36 642.56 13000 165.76 021011 5917.11 -50.26 6000 159.92 021014 5991.77 74.67 14000 157.68 021015 6110.11 118.34 28000 156.67 021016 6172.02 61.91 8000 154.30 021017 6667.68 495.66 16000 162.63 021018 6935.23 267.55 15000 165.12 * new training set, 1 iteration, 60 mins 021021 230.49 230.49 3000 230.49 021022 655.05 424.56 15000 327.52 021023 601.73 -53.32 9000 200.58 021024 689.99 88.26 6000 172.50 021025 666.64 -23.35 13000 133.33 021028 1090.91 424.26 35000 181.82 021029 1190.70 99.80 9000 170.10 021030 1241.50 50.80 19000 155.19 021031 1077.90 -163.60 30000 119.77 021101 523.15 -554.75 40000 52.32 021104 516.82 -6.34 9000 46.98 * new training set, 1 iteration, 60 mins 021105 260.79 260.79 14000 260.79 021106 768.32 507.52 12000 384.16 021107 866.51 98.19 15000 288.84 021108 1041.47 174.96 16000 260.37 021111 1059.03 17.57 6000 211.81 021112 857.02 -202.01 30000 142.84 021113 725.09 -131.93 17000 103.58 021114 779.52 54.43 21000 97.44 021115 671.24 -108.28 8000 74.58 021118 746.58 75.34 14000 74.66 021119 812.04 65.46 6000 73.82 021120 764.53 -47.51 20000 63.71 021121 868.12 103.59 29000 66.78 021122 1101.98 233.87 20000 78.71 021125 1280.35 178.36 24000 85.36 021126 1253.81 -26.53 8000 78.36 021127 1641.08 387.26 18000 96.53 021129 1768.96 127.88 14000 98.28 021202 1510.57 -258.39 20000 79.50 021203 1673.45 162.88 38000 83.67 021204 2106.86 433.41 8000 100.33 021205 2508.80 401.94 12000 114.04 021206 2798.52 289.72 10000 121.67