* new training set, 4 iterations, 30 mins
wlimit/020501     837.78   837.78  115    10000   837.78   8.38%
wlimit/020503    2919.34  2081.56  149    10000  1459.67  14.60%
wlimit/020506    3081.43   162.09  294    10000  1027.14  10.27%
wlimit/020507    3624.43   543.01  302    10000   906.11   9.06%
wlimit/020508    3633.36     8.93  143    10000   726.67   7.27%
wlimit/020509    3423.11  -210.26   36    10000   570.52   5.71%
wlimit/020510    3680.50   257.39  151    10000   525.79   5.26%
wlimit/020513    3010.62  -669.88  134    10000   376.33   3.76%
wlimit/020514    3057.78    47.16  252    10000   339.75   3.40%
wlimit/020516    3986.05   928.27  159    10000   398.61   3.99%
wlimit/020517    3893.58   -92.48  106    10000   353.96   3.54%
wlimit/020520    3732.42  -161.15  117    10000   311.04   3.11%
wlimit/020521    4213.58   481.16   95    10000   324.12   3.24%
* new training set, 4 iterations, 30 mins
wlimit/020522    4613.22   399.64  165    10000   329.52   3.30%
wlimit/020523    5261.20   647.98  111    10000   350.75   3.51%
wlimit/020524    5495.35   234.15  182    10000   343.46   3.43%
wlimit/020529    6579.56  1084.21   79    10000   387.03   3.87%
wlimit/020530    6675.33    95.77   78    10000   370.85   3.71%
wlimit/020531    6667.48    -7.85   63     8000   350.92   3.51%
wlimit/020603    7342.75   675.27  130    10000   367.14   3.67%
wlimit/020604    7636.25   293.50  215    10000   363.63   3.64%
wlimit/020606    7240.54  -395.71  199    10000   329.12   3.29%
wlimit/020610    5976.77 -1263.77  205    10000   259.86   2.60%
wlimit/020611    6251.52   274.75  206    10000   260.48   2.60%
wlimit/020612    6883.03   631.52  295    10000   275.32   2.75%
wlimit/020613    7179.05   296.02   80    10000   276.12   2.76%
wlimit/020614    7209.37    30.32  114    10000   267.01   2.67%
wlimit/020617    7557.92   348.55  183    10000   269.93   2.70%
wlimit/020618    7918.15   360.23  210    10000   273.04   2.73%
wlimit/020619    8225.95   307.80  147    10000   274.20   2.74%
wlimit/020620    8277.04    51.09  283    10000   267.00   2.67%
* new training set, 4 iterations, 30 mins
wlimit/020701    8851.64   574.61  214    10000   276.61   2.77%
wlimit/020702   10015.40  1163.76  179    10000   303.50   3.03%
wlimit/020703   10728.60   713.20  351    10000   315.55   3.15%
wlimit/020705   10691.48   -37.12  127    10000   305.47   3.05%
wlimit/020708   11592.66   901.18  134    10000   322.02   3.22%
wlimit/020709   11818.15   225.49  111     9000   319.41   3.20%
wlimit/020711   11892.36    74.22  267    10000   312.96   3.14%
wlimit/020715   11851.82   -40.54  259    10000   303.89   3.04%
wlimit/020716   12306.71   454.89   65    10000   307.67   3.08%
wlimit/020717   12792.93   486.22  162    10000   312.02   3.13%
wlimit/020718   12919.24   126.31   88    10000   307.60   3.08%
wlimit/020719   12930.50    11.26   93    10000   300.71   3.01%
* partial training set, 3 iterations, 30 mins
wlimit/021210   13083.57   153.07    7     2000   297.35   3.12%
* new training set, 4 iterations, 30 mins
wlimit/021211   13381.85   298.29   41     8000   297.37   3.13%
wlimit/021212   13455.24    73.39   56    10000   292.51   3.08%
wlimit/021213   13505.14    49.90   25     4000   287.34   3.04%
wlimit/021216   13792.86   287.72   39    10000   287.35   3.04%
wlimit/021217   13863.04    70.18   32     8000   282.92   2.99%
wlimit/021218   13939.52    76.48   67    10000   278.79   2.95%
wlimit/021219   13997.60    58.08   17     4000   274.46   2.92%
* partial training set, 2 iterations, 30 mins
wlimit/021220   14364.79   367.19   42     7000   276.25   2.96%
* new training set, 4 iterations, 30 mins
wlimit/021223      39.28    39.28   24     6000    39.28   0.65%
wlimit/021224     169.42   130.14   16     4000    84.71   1.95%
wlimit/021226     208.94    39.53    8     5000    69.65   1.57%
wlimit/021227     257.33    48.39    7     3000    64.33   1.58%
wlimit/021230     453.33   196.00   23     3000    90.67   2.57%
wlimit/021231     607.16   153.82   38     6000   101.19   2.57%