* new training set, 4 iterations, 30 mins
wlimit/020501     480.58   480.58   31    10000   480.58   4.81%
wlimit/020503    1444.39   963.80   28     7000   722.19   9.29%
wlimit/020506    1670.86   226.48   73    10000   556.95   6.95%
wlimit/020507    1666.05    -4.81   95    10000   416.51   5.20%
wlimit/020508    1261.70  -404.36   49    10000   252.34   3.35%
wlimit/020509     855.26  -406.43   20    10000   142.54   2.11%
wlimit/020510    1771.99   916.73   35    10000   253.14   3.12%
wlimit/020513    1875.59   103.59   36    10000   234.45   2.86%
wlimit/020514    1579.20  -296.39  113    10000   175.47   2.21%
wlimit/020516    2050.90   471.70   41    10000   205.09   2.46%
wlimit/020517    1903.68  -147.22   47    10000   173.06   2.11%
wlimit/020520    1914.43    10.75   41    10000   159.54   1.94%
wlimit/020521    2042.63   128.20   29     8000   157.13   1.91%
* new training set, 4 iterations, 30 mins
wlimit/020522    2022.49   -20.15   31    10000   144.46   1.76%
wlimit/020523    2476.94   454.46   23     4000   165.13   2.40%
wlimit/020524    2629.88   152.93   27     6000   164.37   2.41%
wlimit/020529    3882.08  1252.20   23    10000   228.36   3.01%
wlimit/020530    4150.76   268.69   21     8000   230.60   3.03%
wlimit/020531    4172.07    21.31    9     5000   219.58   2.89%
wlimit/020603    4614.93   442.86   31    10000   230.75   2.97%
wlimit/020604    5181.31   566.38   56    10000   246.73   3.09%
wlimit/020606    4955.31  -226.00   39    10000   225.24   2.85%
wlimit/020610    4317.31  -637.99   43    10000   187.71   2.45%
wlimit/020611    4510.51   193.19   28     6000   187.94   2.48%
wlimit/020612    4940.69   430.18   63    10000   197.63   2.55%
wlimit/020613    5005.37    64.68   15     3000   192.51   2.54%
wlimit/020614    5139.40   134.04   18     7000   190.35   2.52%
wlimit/020617    5344.48   205.07   19     6000   190.87   2.55%
wlimit/020618    5334.94    -9.54   13     4000   183.96   2.45%
wlimit/020619    5477.39   142.46   29    10000   182.58   2.42%
wlimit/020620    5675.52   198.12   31    10000   183.08   2.40%
* new training set, 4 iterations, 30 mins
wlimit/020701    5915.18   239.66   76    10000   184.85   2.40%
wlimit/020702    6806.52   891.34   71    10000   206.26   2.60%
wlimit/020703    7120.25   313.73   79    10000   209.42   2.62%
wlimit/020705    7338.31   218.06   29    10000   209.67   2.60%
wlimit/020708    8749.44  1411.13   65    10000   243.04   2.92%
wlimit/020709    8797.30    47.86   11     4000   237.76   2.88%
wlimit/020711    9708.50   911.20  123    10000   255.49   3.04%
wlimit/020715    9807.01    98.51   90    10000   251.46   2.99%
wlimit/020716   10266.98   459.96   35    10000   256.67   3.03%
wlimit/020717   10472.45   205.47   41    10000   255.43   3.01%
wlimit/020718   10542.80    70.35   30    10000   251.02   2.95%
wlimit/020719   10565.24    22.44   27    10000   245.70   2.89%
* partial training set, 3 iterations, 30 mins
wlimit/021210   10565.24     0.00    0        0   240.12   2.82%
* new training set, 4 iterations, 30 mins
wlimit/021211   10590.64    25.40   10     5000   235.35   2.77%
wlimit/021212   10590.64     0.00    1     1000   230.23   2.71%
wlimit/021213   10597.43     6.79    6     3000   225.48   2.66%
wlimit/021216   10681.04    83.60    4     1000   222.52   2.78%
wlimit/021217   10717.49    36.46    4     2000   218.72   2.76%
wlimit/021218   10739.82    22.33    5     2000   214.80   2.72%
wlimit/021219   10739.82     0.00    3     2000   210.58   2.67%
* partial training set, 2 iterations, 30 mins
wlimit/021220   10794.87    55.05    5     1000   207.59   2.72%
* new training set, 4 iterations, 30 mins
wlimit/021223      71.12    71.12    7     3000    71.12   2.37%
wlimit/021224     196.34   125.23    7     2000    98.17   4.32%
wlimit/021226     196.34     0.00    2     2000    65.45   2.88%
wlimit/021227     211.73    15.38    1     1000    52.93   2.54%
wlimit/021230     242.97    31.24    4     1000    48.59   2.66%
wlimit/021231      73.99  -168.99   13     3000    12.33   1.28%