X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.151716,40.592839,train,0.0018331102642686647,36.28416829843461,0.42464475586335493
-124.184863,40.77743,train,0.012966383761115089,80.23698454284,0.8392436637224403
-124.20727,41.758028,train,0.002328358911810756,40.54457179633483,0.48385932329248205
-124.177148,41.806205,train,0.0014921484135770335,32.84652899554554,0.37530327313390954
-124.090428,40.933965,train,0.005193798089927039,56.50130554384713,0.676496294433794
-124.155511,40.597368,train,0.0028560486339422662,46.63783906414866,0.534865881501847
-124.265682,40.578002,train,0.01223588680047912,77.68578867052135,0.8312657206268503
-124.198939,40.697332,train,0.013452913308501114,81.5830579884344,0.8441514011869443
-124.148267,40.780021,train,0.015716104107286567,91.89200249845867,0.8635315625924822
-124.092445,40.898374,train,0.004864812088962169,54.974795249798134,0.6620133339697438
-124.226153,40.643591,train,0.018564142015335065,95.53088595757205,0.8819974607959856
-124.166236,40.606606,train,0.005942105069849446,59.8101608680722,0.7052270943876142
-124.100363,40.87474,train,0.00979196519050433,71.18569106716456,0.7976729669218166
-124.15244,40.809018,train,0.0211386805036394,97.64470350356827,0.8948582347688598
-124.141706,40.548538,train,0.006321351963129682,60.44231425879552,0.7179234108184193
-124.16094,40.852109,train,0.01782438233315438,93.6744223227665,0.8776989984743472
-124.108934,40.504516,train,0.004750236857114349,54.00429719450818,0.6566601067223287