X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.092636,40.906767,train,0.004002722541214207,84.06544881356669,0.8302046878585202
-124.158,40.597988,train,0.0018968405715352136,65.8954147801853,0.6985270262611076
-124.085471,40.869594,train,0.0062560455998692125,96.6727251125745,0.8842853076656497
-124.163083,40.801717,train,0.006104973552161789,96.04715348208533,0.8817604352244219
-124.160927,40.808913,train,0.006758746523380433,99.27012760851665,0.8919620757080018
-124.068262,40.846111,train,0.0031704949657214315,79.48029461992482,0.7947814346548374
-124.101927,40.943407,train,0.004228018988851516,86.15569167091695,0.8377847992344424
-124.086027,40.810594,train,0.0053861610670700045,88.60286224178286,0.8680626557184749
-123.986979,40.879776,train,5.786732502279047E-4,39.25749945609508,0.4141311025877968
-124.099064,40.979704,train,0.002643732296089105,74.75185660424296,0.7635596909562197
-123.769401,40.891569,train,5.518493503064083E-5,4.1880700358564855,0.06315289357134088
-124.07721,40.804235,train,0.002617271273959214,74.48746824367393,0.7617387935825147
-124.1645,40.803122,train,0.0057617407157108435,93.06654057069494,0.8755930616925923
-124.208983,40.735893,train,0.005848250274134826,94.23219069088168,0.8772073645540873
-123.667567,40.956437,train,6.789107415184618E-5,5.184758172822629,0.07658009659864777
-124.235809,42.02,train,3.179601741235467E-4,24.92328758665859,0.2797453125849156