X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.081203,40.904188,train,0.0058828343904967825,83.54995897699442,0.8062687891345305
-124.113001,41.024148,train,0.0021349964288104946,51.82285494087783,0.6016564491423008
-124.155423,40.597295,train,0.0020935938146398395,51.19037167718348,0.5969538937855051
-124.153283,40.592252,train,0.0010631851220204882,37.28832654605133,0.4292715156034476
-124.06719,40.023297,train,2.8411470937803854E-4,15.679892702838597,0.16735773957365824
-124.088624,40.869408,train,0.009799187145381732,95.02152688880447,0.8739347667125246
-124.189453,40.822513,train,0.007968402867650392,92.21655049173592,0.8493344904917461
-124.188552,41.749768,train,0.0027496085960016033,57.910614598448646,0.6604646131137499
-124.108475,41.222923,train,0.006390783658249975,86.61899729370965,0.8188779148236834
-124.155584,40.790452,train,0.00789311936896801,91.41970615980314,0.8481157251838795
-124.10064,40.941521,train,0.00636631837460377,85.97869761155549,0.8183083406499078
-124.174038,40.849131,train,0.010615252777146653,97.10667322448286,0.8824873749803497
-124.17766,40.801645,train,0.006392699734292363,87.25696077281556,0.8189223720721274
-124.052426,40.836059,train,0.0016813759158606793,46.28408967342982,0.5432712973044993
-124.157796,41.731483,train,6.43830990896373E-4,28.139920418179237,0.31293955317677064
-124.085838,41.584907,train,5.515506548706499E-4,25.32038530400712,0.2806752141252948
-124.128054,40.922826,train,0.015672877618453433,99.99998546759299,0.9172714345312944
-124.157994,40.805436,train,0.010237436004033991,96.04538173172953,0.8786766845888202
-124.149037,41.059451,train,0.002998076045261114,60.53840010570907,0.6795876733865834