Question

What is the output ontained from output node of mlp classifier?

Answer 1

The architecture and the units of the input, hidden and output layers in sklearn are decribed as below:

The number of input units will be the number of features (in general +1 node for bias)

For multiclass classification the number of output units will be the number of labels

Try a single hidden layer first

The more units in a hidden layer the better, try the same as the number of input features.

Some general rules about the hidden layer are the following based on this paper: 'Approximating Number of Hidden layer neurons in Multiple Hidden Layer BPNN Architecture' by Saurabh Karsoliya.