X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.078989,40.871558,train,5.609289659819122E-4,60.33012538222653,0.5783530829518558
-124.100962,40.991123,train,7.184036789426826E-4,64.11870355757095,0.637251268461883
-124.04058,40.831809,train,3.352029033680136E-4,52.34678377595675,0.45045265105860705
-124.122212,40.249431,train,1.292085067562668E-4,29.06746729498942,0.24009649223446453
-124.25886,40.58417,train,0.0012801175843669718,68.46981048944006,0.757886904143992
-124.107669,41.035373,train,6.716303227097377E-4,63.308495027101934,0.6215494543878175
-124.095381,40.946548,train,7.570417400530756E-4,64.60618342541218,0.6492719204279018
-124.198725,40.699467,train,9.188543775730287E-4,66.076400009681,0.6920135298127293