Outputs of classifiers and how to measure confidence?

Hi, so I'm using the classification learner to train various models. I've found that the trained models can output (as well the predictions yfit) 2 other variables; I can't find any info regarding these in the documentation - can anyone shed any light? the first appears to weights, where the largest value corresponds to the predicted label. I've attached a mat file containing an example of these outputs, as well as the corresponding correct labels.

I would like to be able to calculate the confidence of a prediction - can anyone suggest a means of doing this?

Many thanks

[Image Analyst]

Try attaching your data. http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

[Jack Latham]

Attached, should make it clearer

Answer 1

[Bernhard Suhm]

You could try using the predint or confint functions, see also https://www.mathworks.com/matlabcentral/answers/266432-how-to-plot-prediction-and-confidence-interval