_PROBLEM CoEPrA-2006_Regression_003_Prediction _GROUP_NAME Gavin Cawley _GROUP_MEMBERS Gavin Cawley _ADDRESS School of Computing Sciences University of East Anglia Norwich NR4 7TJ, U.K. _MODELLING PROCEDURE I tried lots of different things, but I have no confidence that any of them are doing anything useful, so I am submitting a null model that just uses the mean value of the training targets ;-) _PREDICTION Obj_00001 7.082 Obj_00002 7.082 Obj_00003 7.082 Obj_00004 7.082 Obj_00005 7.082 Obj_00006 7.082 Obj_00007 7.082 Obj_00008 7.082 Obj_00009 7.082 Obj_00010 7.082 Obj_00011 7.082 Obj_00012 7.082 Obj_00013 7.082 Obj_00014 7.082 Obj_00015 7.082 Obj_00016 7.082 Obj_00017 7.082 Obj_00018 7.082 Obj_00019 7.082 Obj_00020 7.082 Obj_00021 7.082 Obj_00022 7.082 Obj_00023 7.082 Obj_00024 7.082 Obj_00025 7.082 Obj_00026 7.082 Obj_00027 7.082 Obj_00028 7.082 Obj_00029 7.082 Obj_00030 7.082 Obj_00031 7.082 Obj_00032 7.082 Obj_00033 7.082 Obj_00034 7.082 Obj_00035 7.082 Obj_00036 7.082 Obj_00037 7.082 Obj_00038 7.082 Obj_00039 7.082 Obj_00040 7.082 Obj_00041 7.082 Obj_00042 7.082 Obj_00043 7.082 Obj_00044 7.082 Obj_00045 7.082 Obj_00046 7.082 Obj_00047 7.082 Obj_00048 7.082 Obj_00049 7.082 Obj_00050 7.082 Obj_00051 7.082 Obj_00052 7.082 Obj_00053 7.082 Obj_00054 7.082 Obj_00055 7.082 Obj_00056 7.082 Obj_00057 7.082 Obj_00058 7.082 Obj_00059 7.082 Obj_00060 7.082 Obj_00061 7.082 Obj_00062 7.082 Obj_00063 7.082 Obj_00064 7.082 Obj_00065 7.082 Obj_00066 7.082 Obj_00067 7.082 Obj_00068 7.082 Obj_00069 7.082 Obj_00070 7.082 Obj_00071 7.082 Obj_00072 7.082 Obj_00073 7.082 Obj_00074 7.082 Obj_00075 7.082 Obj_00076 7.082 Obj_00077 7.082 Obj_00078 7.082 Obj_00079 7.082 Obj_00080 7.082 Obj_00081 7.082 Obj_00082 7.082 Obj_00083 7.082 Obj_00084 7.082 Obj_00085 7.082 Obj_00086 7.082 Obj_00087 7.082 Obj_00088 7.082 Obj_00089 7.082 Obj_00090 7.082 Obj_00091 7.082 Obj_00092 7.082 Obj_00093 7.082 Obj_00094 7.082 Obj_00095 7.082 Obj_00096 7.082 Obj_00097 7.082 Obj_00098 7.082 Obj_00099 7.082 Obj_00100 7.082 Obj_00101 7.082 Obj_00102 7.082 Obj_00103 7.082 Obj_00104 7.082 Obj_00105 7.082 Obj_00106 7.082 Obj_00107 7.082 Obj_00108 7.082 Obj_00109 7.082 Obj_00110 7.082 Obj_00111 7.082 Obj_00112 7.082 Obj_00113 7.082 Obj_00114 7.082 Obj_00115 7.082 Obj_00116 7.082 Obj_00117 7.082 Obj_00118 7.082 Obj_00119 7.082 Obj_00120 7.082 Obj_00121 7.082 Obj_00122 7.082 Obj_00123 7.082 Obj_00124 7.082 Obj_00125 7.082 Obj_00126 7.082 Obj_00127 7.082 Obj_00128 7.082 Obj_00129 7.082 Obj_00130 7.082 Obj_00131 7.082 Obj_00132 7.082 Obj_00133 7.082