How is the output from a trained model to be understood?

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Betzalel Fialkoff
Betzalel Fialkoff 2018-3-25
编辑： Betzalel Fialkoff 2018-3-25
So I trained a logistic regression model, using the Classification Learner app, after training I exported using the generate code option, at this point I have the model in my workspace as a struct. My code is as follows:
%feature extraction
features=ReadData();
%train the model
logitReg=trainingModel(features);
%to predict create a feature vector and call the predictFcn method of the
%model
featureVector=[0 0.01 0.1 1 2];%A random feature vector to test the function
[a b]=logitReg.predictFcn( featureVector);
My problem is simply that I dont know how to understand the output. As far as I can tell the variable a is the model's prediction, b is a 2x1 double, the sum of its 2 terms is equal to one. In this case:
b=[0.0239 0.9761];
this leads me to believe that b(1) is the probability that the feature belongs to class '0' and b(2) is the probability that the feature belongs to class '1'. However I cannot find ny documentation to confirm this.
Can anyone help? Greatly appreciated!

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