X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.098315,40.943148,train,0.005846354135061106,75.80594572058023,0.7988505646687355
-124.206106,40.718249,train,0.011665451884500726,99.99984931837812,0.8879469131679804
-124.084924,40.867785,train,0.008205390862556238,82.85498626656143,0.8478838041075919
-124.037206,40.827163,train,0.00320117864829061,60.308893828767474,0.6849957787993513
-124.265242,40.573218,train,0.008646104181772878,85.38939418184223,0.8545094471765026
-124.177845,40.792077,train,0.010334757964124473,90.23713497420431,0.8753179550024
-124.165399,40.804519,train,0.01045218314300204,92.31932859190456,0.8765457694360297
-124.181063,40.723828,train,0.00904488479410083,86.29388600611033,0.8600261226054648
-124.141915,40.789818,train,0.010370638381048116,91.2748178246863,0.8756957090516925
-124.092251,40.896484,train,0.005500872068655206,74.08230437572328,0.788884443264251
-124.096157,40.973604,train,0.0037947810538550898,64.80529639148229,0.7204982197941405
-124.019242,40.925973,train,3.409155915338992E-4,20.984870464188056,0.1880374921003734
-124.173437,40.555295,train,0.0028904409212470905,56.97238885444486,0.6625584846744599
-124.041463,41.531535,train,1.5366707314917565E-4,10.535957124025284,0.09451952286226621
-124.07118,41.284624,train,7.428256682679102E-4,32.717851849391785,0.3353721772239075