How does a J48 tree in Weka look like?

Asked on 29.12.2018 in All Questions.
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Each leaf contains two number: one represents how many training examples and the other how many training errors. The second one is a feedforward neural network algorithm called multilayer perceptron in Weka. In this algorithm, there are some hidden layers (otherwise it would be equivalent to a logistic regression) that operates from the output to the input (backpropagation). Each layer applies an activation function (theoretically it could be a different function for each node. However practically all the hidden units have the same) to establish the weight of the branch to try to find a set of weights...
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