* new training set, 4 iterations, 30 mins
wlimit/020501     191.64   191.64   31    10000   191.64   1.92%
wlimit/020503     974.66   783.02   28     7000   487.33   6.55%
wlimit/020506    1446.39   471.73   73    10000   482.13   5.94%
wlimit/020507    1730.51   284.12   95    10000   432.63   5.17%
wlimit/020508    1316.05  -414.45   49    10000   263.21   3.30%
wlimit/020509    1130.28  -185.78   20    10000   188.38   2.44%
wlimit/020510    1615.93   485.66   35    10000   230.85   2.79%
wlimit/020513    1639.21    23.27   36    10000   204.90   2.47%
wlimit/020514    1479.49  -159.72  113    10000   164.39   2.02%
wlimit/020516    2155.66   676.17   41    10000   215.57   2.49%
wlimit/020517    2059.92   -95.74   47    10000   187.27   2.18%
wlimit/020520    2324.45   264.53   41    10000   193.70   2.22%
wlimit/020521    2526.91   202.46   29     6000   194.38   2.31%
* new training set, 4 iterations, 30 mins
wlimit/020522    2400.44  -126.47   31     9000   171.46   2.04%
wlimit/020523    2740.53   340.09   23     3000   182.70   2.66%
wlimit/020524    2891.48   150.95   27     6000   180.72   2.65%
wlimit/020529    3930.03  1038.55   23    10000   231.18   3.11%
wlimit/020530    4123.25   193.22   21     6000   229.07   3.11%
wlimit/020531    4136.84    13.59    9     4000   217.73   2.97%
wlimit/020603    4459.87   323.04   31     8000   222.99   3.02%
wlimit/020604    4817.97   358.09   56     9000   229.43   3.07%
wlimit/020606    4621.38  -196.58   39    10000   210.06   2.84%
wlimit/020610    4133.69  -487.69   43    10000   179.73   2.50%
wlimit/020611    4355.19   221.50   28     5000   181.47   2.58%
wlimit/020612    4330.35   -24.84   63    10000   173.21   2.47%
wlimit/020613    4411.61    81.26   15     3000   169.68   2.48%
wlimit/020614    4492.78    81.16   18     5000   166.40   2.45%
wlimit/020617    4696.35   203.57   19     6000   167.73   2.48%
wlimit/020618    4772.69    76.35   13     4000   164.58   2.46%
wlimit/020619    4879.91   107.21   29    10000   162.66   2.41%
wlimit/020620    4880.62     0.72   31     9000   157.44   2.34%
* new training set, 4 iterations, 30 mins
wlimit/020701    5106.08   225.46   76    10000   159.56   2.33%
wlimit/020702    5751.07   644.99   71    10000   174.27   2.46%
wlimit/020703    6122.71   371.64   79    10000   180.08   2.50%
wlimit/020705    6136.87    14.16   29    10000   175.34   2.43%
wlimit/020708    7303.11  1166.24   65    10000   202.86   2.69%
wlimit/020709    7364.54    61.43   11     4000   199.04   2.65%
wlimit/020711    7919.33   554.79  123    10000   208.40   2.73%
wlimit/020715    7894.53   -24.80   90    10000   202.42   2.65%
wlimit/020716    8267.98   373.45   35    10000   206.70   2.68%
wlimit/020717    8523.39   255.41   41    10000   207.89   2.68%
wlimit/020718    8558.52    35.13   30     5000   203.77   2.63%
wlimit/020719    8534.04   -24.48   27     7000   198.47   2.56%
* partial training set, 3 iterations, 30 mins
wlimit/021210    8534.04     0.00    0        0   193.96   2.50%
* new training set, 4 iterations, 30 mins
wlimit/021211    8554.90    20.86   10     5000   190.11   2.46%
wlimit/021212    8554.90     0.00    1     1000   185.98   2.40%
wlimit/021213    8558.30     3.40    6     2000   182.09   2.36%
wlimit/021216    8654.37    96.07    4     1000   180.30   2.51%
wlimit/021217    8692.64    38.27    4     2000   177.40   2.49%
wlimit/021218    8705.52    12.88    5     2000   174.11   2.46%
wlimit/021219    8705.52     0.00    3     1000   170.70   2.41%
* partial training set, 2 iterations, 30 mins
wlimit/021220    8764.34    58.81    5     1000   168.54   2.48%
* new training set, 4 iterations, 30 mins
wlimit/021223      33.70    33.70    7     3000    33.70   1.12%
wlimit/021224     147.86   114.16    7     2000    73.93   3.42%
wlimit/021226     152.99     5.13    2     2000    51.00   2.36%
wlimit/021227     168.37    15.38    1     1000    42.09   2.16%
wlimit/021230     175.88     7.51    4     1000    35.18   1.88%
wlimit/021231     130.46   -45.42   13     3000    21.74   1.31%