X,Y,Test or train,Raw prediction,Cumulative prediction,Logistic prediction
-124.179733,40.784002,train,0.008909383970598247,83.28158773600099,0.857391929505883
-124.175164,40.606435,train,0.00545079988536055,70.58701214572007,0.7862474127462085
-124.203279,40.718282,train,0.009418751838609438,86.9718971738867,0.8640557618996221
-124.163126,40.793108,train,0.010082336918322022,88.94922393993903,0.8718566001194723
-124.255502,40.573031,train,0.008048446029918594,79.82881157907808,0.84450918796842
-124.152945,40.581041,train,0.001835842855621631,49.115088571649885,0.5533446157536049
-124.167064,40.848935,train,0.014153845495203076,97.00927301918122,0.9052248647133168
-124.096768,40.939152,train,0.0039793383405681065,64.09456035404753,0.7286542494753124
-124.066909,41.575148,train,3.8991420824184656E-5,2.86924183476409,0.025637589712712017
-124.122444,40.941365,train,0.01428023794320419,98.43682669490866,0.9059848427239826
-124.146863,40.745485,train,0.011396715789975526,93.19850416734991,0.8849348121388038
-124.093679,40.926111,train,0.003854910675483391,63.69663398723222,0.7223278008275558
-124.097582,40.872825,train,0.007514429258082305,75.85662044332997,0.8352793227525065
-123.986372,40.884327,train,6.23171402045706E-4,30.225214110329816,0.29603650333283005
-124.071987,40.828658,train,0.001652347621292119,47.00710060148087,0.5271948901750431
-124.070383,40.856845,train,0.004245688319381455,65.32768445144325,0.7412726869630438