* new training set, 4 iterations, 30 mins
wlimit/020501     876.10   876.10   68    10000   876.10   8.76%
wlimit/020503    2761.14  1885.04   93    10000  1380.57  13.81%
wlimit/020506    2622.29  -138.85  197    10000   874.10   8.74%
wlimit/020507    2712.22    89.93  209    10000   678.06   6.78%
wlimit/020508    2132.23  -580.00   90    10000   426.45   4.26%
wlimit/020509    1741.63  -390.60   31    10000   290.27   2.90%
wlimit/020510    2130.73   389.09   82    10000   304.39   3.04%
wlimit/020513    1823.70  -307.03   97    10000   227.96   2.28%
wlimit/020514    1762.36   -61.34  197    10000   195.82   1.96%
wlimit/020516    2534.86   772.50  113    10000   253.49   2.53%
wlimit/020517    1835.73  -699.13   81    10000   166.88   1.67%
wlimit/020520    2048.31   212.58   69    10000   170.69   1.71%
wlimit/020521    2563.61   515.29   63    10000   197.20   1.97%
* new training set, 4 iterations, 30 mins
wlimit/020522    2867.82   304.21   85    10000   204.84   2.05%
wlimit/020523    3251.79   383.98   60    10000   216.79   2.17%
wlimit/020524    3601.25   349.46   57    10000   225.08   2.25%
wlimit/020529    5522.69  1921.44   28    10000   324.86   3.25%
wlimit/020530    5672.99   150.30   35    10000   315.17   3.15%
wlimit/020531    5735.81    62.82   18     7000   301.88   3.03%
wlimit/020603    6494.68   758.88   53    10000   324.73   3.26%
wlimit/020604    6579.53    84.85  118    10000   313.31   3.15%
wlimit/020606    6059.75  -519.78   87    10000   275.44   2.77%
wlimit/020610    5179.63  -880.12   83    10000   225.20   2.26%
wlimit/020611    5101.11   -78.53   77    10000   212.55   2.14%
wlimit/020612    6665.47  1564.36  153    10000   266.62   2.68%
wlimit/020613    6722.45    56.98   34    10000   258.56   2.60%
wlimit/020614    6997.18   274.73   63    10000   259.15   2.60%
wlimit/020617    7368.96   371.77   46    10000   263.18   2.64%
wlimit/020618    7673.21   304.25   62    10000   264.59   2.66%
wlimit/020619    8117.22   444.01   77    10000   270.57   2.71%
wlimit/020620    8232.56   115.34   93    10000   265.57   2.66%
* new training set, 4 iterations, 30 mins
wlimit/020701    9136.02   903.46  159    10000   285.50   2.86%
wlimit/020702   10775.75  1639.73  121    10000   326.54   3.27%
wlimit/020703   11216.19   440.44  208    10000   329.89   3.31%
wlimit/020705   11913.05   696.86   76    10000   340.37   3.41%
wlimit/020708   13080.78  1167.73   97    10000   363.36   3.64%
wlimit/020709   13196.75   115.97   55     8000   356.67   3.58%
wlimit/020711   13669.12   472.37  198    10000   359.71   3.61%
wlimit/020715   13700.80    31.68  176    10000   351.30   3.53%
wlimit/020716   14107.80   407.00   52    10000   352.70   3.54%
wlimit/020717   14619.80   512.00   94    10000   356.58   3.58%
wlimit/020718   14975.92   356.12   64    10000   356.57   3.58%
wlimit/020719   14800.31  -175.61   52    10000   344.19   3.45%
* partial training set, 3 iterations, 30 mins
wlimit/021210   14892.72    92.40    2     1000   338.47   3.59%
* new training set, 4 iterations, 30 mins
wlimit/021211   15242.25   349.54   29    10000   338.72   3.58%
wlimit/021212   15294.96    52.71   20    10000   332.50   3.52%
wlimit/021213   15292.31    -2.66   11     4000   325.37   3.44%
wlimit/021216   15401.18   108.87   16     7000   320.86   3.40%
wlimit/021217   15426.04    24.86    6     4000   314.82   3.35%
wlimit/021218   15578.95   152.91   25     6000   311.58   3.33%
wlimit/021219   15634.17    55.22    6     2000   306.55   3.32%
* partial training set, 2 iterations, 30 mins
wlimit/021220   15725.81    91.64   23    10000   302.42   3.27%
* new training set, 4 iterations, 30 mins
wlimit/021223      86.50    86.50   17     5000    86.50   1.73%
wlimit/021224     236.16   149.66   13     5000   118.08   2.36%
wlimit/021226     320.12    83.97    4     4000   106.71   2.27%
wlimit/021227     354.08    33.96    4     2000    88.52   2.13%
wlimit/021230     538.25   184.17   14     4000   107.65   2.62%
wlimit/021231     619.41    81.16   24     7000   103.23   2.38%