* new training set, 4 iterations, 30 mins 020501 124.33 124.33 5000 124.33 020503 149.51 25.19 2000 74.76 020506 225.99 76.48 7000 75.33 020507 434.45 208.46 12000 108.61 020508 441.31 6.86 5000 88.26 020509 381.86 -59.45 8000 63.64 020510 477.95 96.09 5000 68.28 020513 474.63 -3.32 4000 59.33 020514 1004.96 530.33 13000 111.66 020516 1084.87 79.90 2000 108.49 020517 1066.88 -17.99 4000 96.99 020520 1067.23 0.36 2000 88.94 020521 1115.52 48.29 2000 85.81 * new training set, 4 iterations, 30 mins 020522 -16.51 -16.51 2000 -16.51 020523 57.93 74.44 3000 28.96 020524 73.02 15.09 1000 24.34 020529 539.84 466.82 3000 134.96 020530 654.03 114.19 5000 130.81 020531 669.01 14.98 2000 111.50 020603 905.22 236.21 2000 129.32 020604 1289.59 384.37 5000 161.20 020606 1091.29 -198.30 4000 121.25 020610 952.02 -139.28 2000 95.20 020611 965.24 13.22 2000 87.75 020612 1413.25 448.00 8000 117.77 020613 1434.04 20.80 1000 110.31 020614 1511.03 76.99 6000 107.93 020617 1560.17 49.14 3000 104.01 020618 1555.09 -5.07 1000 97.19 020619 1599.99 44.90 4000 94.12 020620 1698.16 98.16 3000 94.34 * retraining in progress...(ignore results) 020621 1825.68 1825.68 37000 1825.68 020624 2423.18 597.50 48000 1211.59 020625 4114.28 1691.10 48000 1371.43 020626 6056.44 1942.16 65000 1514.11 020627 9531.64 3475.20 56000 1906.33 020628 10075.96 544.32 83000 1679.33 * new training set, 4 iterations, 30 mins 020701 77.34 77.34 7000 77.34 020702 303.74 226.40 6000 151.87 020703 610.99 307.25 11000 203.66 020705 672.07 61.08 2000 168.02 020708 967.33 295.25 11000 193.47 020709 955.14 -12.19 1000 159.19 020711 1021.70 66.57 6000 145.96 020715 1064.47 42.77 5000 133.06 020716 1152.46 87.99 7000 128.05 020717 1342.25 189.79 5000 134.22 020718 1268.02 -74.23 3000 115.27 020719 1286.42 18.41 3000 107.20 * retraining in progress...(ignore results) 020722 176.36 176.36 24000 176.36 020723 155.26 -21.09 2000 77.63 020724 194.04 38.78 4000 64.68 020725 118.61 -75.44 4000 29.65 020726 118.12 -0.48 2000 23.62 020730 129.14 11.02 3000 21.52 020731 63.52 -65.63 1000 9.07 020801 27.96 -35.56 4000 3.49 020806 80.08 52.13 7000 8.90 020807 195.84 115.76 9000 19.58 020808 322.89 127.04 2000 29.35 * new training set, 1 iteration, 30 mins 020809 50.15 50.15 6000 50.15 020812 50.15 0.00 0 25.08 020813 105.82 55.66 3000 35.27 020814 88.75 -17.07 2000 22.19 020816 182.25 93.50 6000 36.45 020819 276.70 94.45 8000 46.12 020820 280.60 3.90 3000 40.09 020821 514.95 234.35 7000 64.37 020822 470.22 -44.73 12000 52.25 020823 508.78 38.55 2000 50.88 020826 614.84 106.06 4000 55.89 020828 584.95 -29.89 7000 48.75 020829 604.31 19.36 6000 46.49 020903 596.03 -8.29 2000 42.57 020904 585.52 -10.51 2000 39.03 020905 604.95 19.43 1000 37.81 020906 665.42 60.47 5000 39.14 020916 664.53 -0.89 6000 36.92 020917 649.07 -15.46 3000 34.16 020918 645.75 -3.32 1000 32.29 020919 632.60 -13.14 8000 30.12 020920 632.60 0.00 0 28.75 020923 632.60 0.00 0 27.50 020924 561.02 -71.58 7000 23.38 020925 649.05 88.02 2000 25.96 020926 652.75 3.71 2000 25.11 020927 648.79 -3.96 1000 24.03 020930 639.18 -9.61 1000 22.83 021001 661.54 22.36 2000 22.81 021002 769.94 108.40 11000 25.66 021003 776.30 6.36 2000 25.04 021004 726.70 -49.61 3000 22.71 021007 751.12 24.42 3000 22.76 021008 767.30 16.18 2000 22.57 021009 826.61 59.31 5000 23.62 021010 870.30 43.69 6000 24.17 021011 829.55 -40.75 5000 22.42 021014 877.36 47.81 6000 23.09 021015 904.78 27.42 21000 23.20 021016 958.77 53.99 4000 23.97 021017 1161.76 202.99 8000 28.34 021018 1114.42 -47.33 3000 26.53 * new training set, 1 iteration, 60 mins 021021 29.00 29.00 1000 29.00 021022 261.81 232.81 4000 130.91 021023 207.84 -53.97 4000 69.28 021024 186.24 -21.60 3000 46.56 021025 243.60 57.36 6000 48.72 021028 228.07 -15.53 7000 38.01 021029 239.32 11.25 1000 34.19 021030 318.45 79.13 5000 39.81 021031 316.53 -1.92 1000 35.17 021101 175.58 -140.95 12000 17.56 021104 182.22 6.64 3000 16.57 * new training set, 1 iteration, 60 mins 021105 134.26 134.26 5000 134.26 021106 370.62 236.36 3000 185.31 021107 361.40 -9.22 4000 120.47 021108 495.94 134.54 10000 123.99 021111 566.78 70.84 6000 113.36 021112 548.72 -18.07 1000 91.45 021113 458.00 -90.72 4000 65.43 021114 490.16 32.16 3000 61.27 021115 476.49 -13.66 6000 52.94 021118 496.15 19.66 4000 49.62 021119 444.79 -51.36 3000 40.44 021120 613.21 168.42 5000 51.10 021121 536.73 -76.47 16000 41.29 021122 392.26 -144.47 13000 28.02 021125 570.98 178.71 11000 38.07 021126 558.85 -12.13 2000 34.93 021127 542.24 -16.61 2000 31.90 021129 510.04 -32.20 3000 28.34 021202 482.52 -27.52 1000 25.40 021203 534.94 52.42 4000 26.75 021204 605.77 70.83 7000 28.85 021205 839.07 233.30 4000 38.14 021206 937.18 98.11 4000 40.75