* 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