X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.085816,40.87593,train,0.005681619531401641,69.40293390654342,0.7720173349885788
-124.148537,41.061346,train,0.0016554391982822683,43.89009499121688,0.4966419100870174
-124.166754,40.84818,train,0.017914472560782314,99.99994277542348,0.9143629829333648
-124.153043,40.802879,train,0.011439506429438251,91.5873946110212,0.8720909136852285
-124.094151,40.896987,train,0.002731520747686394,54.53124771752301,0.6194842228959726
-124.073369,40.858292,train,0.0025586016453330615,52.65861867546397,0.6039526354333928
-124.147789,40.746347,train,0.01115328073774136,90.36973711084799,0.8692376238300632
-124.097101,40.773969,train,0.014226250003239337,96.50295966512527,0.8945033961264145
-123.978395,40.879646,train,8.364322667436171E-4,33.17508540946258,0.332675555070291
-124.150765,40.593377,train,0.002324090606272473,50.7076022239593,0.5807443859965694
-124.165252,40.780428,train,0.010152988007746937,86.08293835384892,0.8581816936059321
-124.168448,40.845364,train,0.01239367761924565,95.08032408600029,0.8807642700172538
-124.153161,40.596814,train,0.003019191381270638,56.291790114483675,0.6427890577825026
-124.35172,40.568279,train,0.008683028660258881,77.52910906088485,0.8380610421898347
-124.039584,40.531562,train,0.0015092661624772539,42.780908000984496,0.4735558566591646
-124.152773,41.13008,train,0.0061818926061684605,70.02112770961843,0.7865284891958687
-124.102637,40.482177,train,0.005001635495926035,68.28671469530292,0.7488081926783027
-124.074174,40.031407,train,2.4757870672466754E-4,14.757139328327588,0.1285852813097724