_PROBLEM CoEPrA-2006_Regression_003

_GROUP_NAME Wit Jakuczun

_GROUP_MEMBERS
Wit Jakuczun

_ADDRESS
Warsaw University of Technology
Department of Mathematics and Information Science
Pl. Politechniki 1
00-661 Warsaw
Poland

_MODELING_PROCEDURE
   The procedure consisted of two steps:
   1) Selecting relevant features using Random Forest 
   2) Constructing Random Forest upon the 115 mostly 
      relevant features.

   All parameters were selected using CV-10 procedure.      

_PREDICTION
Obj_00001 7.230
Obj_00002 7.377
Obj_00003 7.030
Obj_00004 6.824
Obj_00005 7.090
Obj_00006 7.050
Obj_00007 6.538
Obj_00008 6.989
Obj_00009 7.291
Obj_00010 6.869
Obj_00011 6.756
Obj_00012 7.168
Obj_00013 8.115
Obj_00014 7.004
Obj_00015 6.957
Obj_00016 6.759
Obj_00017 7.131
Obj_00018 6.907
Obj_00019 7.394
Obj_00020 7.849
Obj_00021 6.816
Obj_00022 7.311
Obj_00023 7.083
Obj_00024 6.950
Obj_00025 7.504
Obj_00026 7.521
Obj_00027 6.683
Obj_00028 6.238
Obj_00029 6.896
Obj_00030 6.714
Obj_00031 7.872
Obj_00032 7.412
Obj_00033 7.191
Obj_00034 6.783
Obj_00035 7.044
Obj_00036 6.890
Obj_00037 6.885
Obj_00038 8.066
Obj_00039 7.030
Obj_00040 6.864
Obj_00041 7.882
Obj_00042 7.041
Obj_00043 7.148
Obj_00044 6.919
Obj_00045 7.299
Obj_00046 7.143
Obj_00047 6.757
Obj_00048 6.863
Obj_00049 7.403
Obj_00050 6.739
Obj_00051 6.639
Obj_00052 7.052
Obj_00053 6.716
Obj_00054 6.499
Obj_00055 6.765
Obj_00056 6.652
Obj_00057 6.530
Obj_00058 6.936
Obj_00059 7.100
Obj_00060 7.180
Obj_00061 6.836
Obj_00062 8.288
Obj_00063 7.039
Obj_00064 6.522
Obj_00065 7.970
Obj_00066 6.992
Obj_00067 6.689
Obj_00068 7.235
Obj_00069 6.596
Obj_00070 7.130
Obj_00071 8.116
Obj_00072 7.131
Obj_00073 7.185
Obj_00074 7.319
Obj_00075 7.399
Obj_00076 6.743
Obj_00077 6.957
Obj_00078 7.030
Obj_00079 7.118
Obj_00080 7.373
Obj_00081 7.321
Obj_00082 7.352
Obj_00083 6.491
Obj_00084 7.617
Obj_00085 7.182
Obj_00086 6.971
Obj_00087 7.582
Obj_00088 6.595
Obj_00089 6.351
Obj_00090 6.783
Obj_00091 7.120
Obj_00092 7.233
Obj_00093 7.167
Obj_00094 6.630
Obj_00095 6.848
Obj_00096 6.989
Obj_00097 7.630
Obj_00098 6.991
Obj_00099 7.049
Obj_00100 7.313
Obj_00101 7.473
Obj_00102 7.124
Obj_00103 6.822
Obj_00104 8.182
Obj_00105 6.837
Obj_00106 6.881
Obj_00107 6.969
Obj_00108 7.228
Obj_00109 7.284
Obj_00110 6.810
Obj_00111 6.993
Obj_00112 7.107
Obj_00113 7.870
Obj_00114 7.262
Obj_00115 6.969
Obj_00116 7.313
Obj_00117 6.864
Obj_00118 7.242
Obj_00119 7.382
Obj_00120 6.574
Obj_00121 6.757
Obj_00122 7.029
Obj_00123 7.348
Obj_00124 7.420
Obj_00125 7.055
Obj_00126 7.232
Obj_00127 7.545
Obj_00128 7.041
Obj_00129 6.253
Obj_00130 6.933
Obj_00131 7.659
Obj_00132 7.281
Obj_00133 7.013