X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.126246,41.179365,train,0.007294714638308189,68.68606944543947,0.7359777594724257
-124.158824,40.799021,train,0.009706327894611764,88.75393701204165,0.7876460783645594
-124.231818,40.765526,train,0.01115550651978678,94.93346181280693,0.8099906967458893
-124.113286,41.030809,train,0.0015728023927882636,26.254534820041865,0.3753987818644445
-124.182839,41.747859,train,0.002738217488307871,30.08504870931512,0.5113289730427846
-124.150422,40.892056,train,0.00991533072184353,90.73588323550157,0.791187557528159
-124.101562,41.244918,train,0.006021114717905317,60.04834962583167,0.6970499017689419
-124.304724,40.640921,train,0.009691377343600502,86.81346913511983,0.7873881370857668
-124.235115,40.747452,train,0.0093439370153507,84.8765495893212,0.781212143974289
-124.120617,40.981842,train,0.002399687928034285,29.288226879847855,0.47835233912483355
-124.150314,41.065811,train,0.0016776103923937756,26.91261885874533,0.39064230758154345
-124.425488,42.402386,train,0.0013674973169443309,25.34697054516304,0.34321464667669915
-124.124826,40.964345,train,0.012931375614696978,98.61115417384235,0.831692913108777
-124.17596,40.825809,train,0.011277818172272885,96.06120119608086,0.811663302249461
-124.208618,41.749607,train,0.004985194714045021,51.836927361227005,0.6557674888907435
-124.170454,40.854665,train,0.012569201644214599,97.31810954322545,0.8276789456098803
-124.16327,40.857278,train,0.010154985731785304,91.7513182945752,0.7951057744471622
-124.13303,41.053551,train,0.002807394216130457,30.64170482234025,0.5175610788001351
-124.184017,43.740344,train,0.004565512334219708,46.083867738430605,0.6356532603933427
-124.3509,40.572733,train,0.008838315043785861,83.9421447453653,0.7715550470837056
-124.244213,42.025208,train,1.7657466839744284E-4,8.880340413474833,0.06321009899579969