What do columns ‘rawPrediction’ and ‘probability’ of DataFrame mean in Spark MLlib？

Question

After I trained a LogisticRegressionModel, I transformed the test data DF with it and get the prediction DF. And then when I call prediction.show(), the output column names are:

Answer 1

If classification model is logistic regression,

rawPrediction is equal (w*x + bias) variable coefficients values

probability is 1/(1+e^(w*x + bias))

prediction is 0 or 1.