* 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