* new training set, 4 iterations, 30 mins
wlimit/020501     726.47   726.47   68    10000   726.47   7.26%
wlimit/020503    2502.48  1776.01   93    10000  1251.24  12.51%
wlimit/020506    2235.58  -266.90  197    10000   745.19   7.45%
wlimit/020507    2464.33   228.76  209    10000   616.08   6.16%
wlimit/020508    2168.58  -295.76   90    10000   433.72   4.34%
wlimit/020509    1774.31  -394.26   31    10000   295.72   2.96%
wlimit/020510    2197.58   423.27   82    10000   313.94   3.14%
wlimit/020513    2054.38  -143.20   97    10000   256.80   2.57%
wlimit/020514    2137.97    83.59  197    10000   237.55   2.38%
wlimit/020516    2793.00   655.02  113    10000   279.30   2.79%
wlimit/020517    2305.71  -487.29   81    10000   209.61   2.10%
wlimit/020520    2644.02   338.31   69    10000   220.34   2.20%
wlimit/020521    3085.89   441.87   63    10000   237.38   2.37%
* new training set, 4 iterations, 30 mins
wlimit/020522    3477.00   391.11   85    10000   248.36   2.48%
wlimit/020523    4165.89   688.89   60    10000   277.73   2.78%
wlimit/020524    4420.37   254.48   57    10000   276.27   2.76%
wlimit/020529    6122.63  1702.26   28    10000   360.15   3.60%
wlimit/020530    6419.42   296.79   35    10000   356.63   3.57%
wlimit/020531    6542.44   123.02   18     7000   344.34   3.47%
wlimit/020603    7278.07   735.63   53    10000   363.90   3.67%
wlimit/020604    7441.13   163.06  118    10000   354.34   3.57%
wlimit/020606    7146.88  -294.25   87    10000   324.86   3.27%
wlimit/020610    6018.26 -1128.62   83    10000   261.66   2.64%
wlimit/020611    6248.76   230.50   77    10000   260.37   2.63%
wlimit/020612    7220.78   972.02  153    10000   288.83   2.91%
wlimit/020613    7596.78   376.00   34    10000   292.18   2.94%
wlimit/020614    7748.77   151.98   63    10000   286.99   2.89%
wlimit/020617    8126.36   377.60   46    10000   290.23   2.92%
wlimit/020618    8418.06   291.70   62    10000   290.28   2.92%
wlimit/020619    8908.11   490.05   77    10000   296.94   2.99%
wlimit/020620    8950.91    42.80   93    10000   288.74   2.90%
* new training set, 4 iterations, 30 mins
wlimit/020701    9714.14   763.24  159    10000   303.57   3.05%
wlimit/020702   11300.26  1586.12  121    10000   342.43   3.44%
wlimit/020703   11806.84   506.58  208    10000   347.26   3.49%
wlimit/020705   12534.33   727.49   76    10000   358.12   3.60%
wlimit/020708   13666.27  1131.94   97    10000   379.62   3.81%
wlimit/020709   13841.72   175.45   55     7000   374.10   3.78%
wlimit/020711   14266.65   424.93  198    10000   375.44   3.79%
wlimit/020715   14344.39    77.74  176    10000   367.80   3.71%
wlimit/020716   14820.04   475.65   52    10000   370.50   3.74%
wlimit/020717   15261.86   441.82   94    10000   372.24   3.75%
wlimit/020718   15451.16   189.30   64    10000   367.88   3.71%
wlimit/020719   15400.30   -50.86   52    10000   358.15   3.61%
* partial training set, 3 iterations, 30 mins
wlimit/021210   15514.28   113.99    2     1000   352.60   3.79%
* new training set, 4 iterations, 30 mins
wlimit/021211   15897.25   382.97   29    10000   353.27   3.79%
wlimit/021212   15947.46    50.21   20    10000   346.68   3.72%
wlimit/021213   15953.35     5.89   11     3000   339.43   3.64%
wlimit/021216   16090.93   137.58   16     6000   335.23   3.61%
wlimit/021217   16138.17    47.24    6     4000   329.35   3.56%
wlimit/021218   16340.12   201.95   25     6000   326.80   3.56%
wlimit/021219   16384.33    44.21    6     2000   321.26   3.53%
* partial training set, 2 iterations, 30 mins
wlimit/021220   16538.07   153.74   23     9000   318.04   3.50%
* new training set, 4 iterations, 30 mins
wlimit/021223      35.47    35.47   17     5000    35.47   0.71%
wlimit/021224     184.19   148.72   13     5000    92.10   1.84%
wlimit/021226     170.50   -13.69    4     4000    56.83   1.11%
wlimit/021227     204.46    33.96    4     2000    51.11   1.26%
wlimit/021230     429.92   225.47   14     3000    85.98   2.51%
wlimit/021231     370.39   -59.54   24     7000    61.73   1.95%