X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.086602,40.86839,train,0.015396683630281321,98.41885510805679,0.9125550623179711
-123.965846,40.78704,train,0.0025850945590284733,57.98083368542608,0.636648974513585
-124.113806,40.76564,train,0.008987882730923094,92.43882261896515,0.8589945800856362
-124.170958,40.790509,train,0.006243583506075105,83.17901662101767,0.8088633346609871
-124.101166,40.942443,train,0.015811153478846377,99.99982254448733,0.9146516826752816
-124.120252,40.920501,train,0.01454357210490851,96.87920677994613,0.9078980597078219
-124.160764,40.776171,train,0.007410741805969158,85.86470874646895,0.8339684193169301
-124.216683,40.724072,train,0.005606516185474152,81.35027432674065,0.7916692124908994
-124.038928,40.962708,train,0.005156433266322882,79.23396401883834,0.7775303671047564
-124.042733,41.532355,train,1.4247794383482763E-4,7.854772038857181,0.08806599927844024
-124.161626,40.807816,train,0.009372845836208536,93.37609041543722,0.8639983386756733
-124.077708,40.886326,train,0.010210384243295845,94.39711976835528,0.8737458099781479
-123.617682,40.911907,train,7.320305079202037E-5,4.129276077968016,0.047271103300961625
-124.096554,40.977622,train,0.008697680353550827,90.66886988647569,0.8549721795636216
-124.044458,40.910193,train,0.007570467706404111,87.3670746274547,0.8369001019696504
-124.068355,40.83839,train,0.003555728309992385,65.00806908514141,0.706749042304841
-124.15677,40.597262,train,0.001884837417957831,49.318031503734794,0.5609278515297687
-124.18536,41.784877,train,0.0013849127026013975,42.882512981557156,0.4841862968820831