Preference Learning Toolbox

Preference Learning Algorithms

Once data is loaded, features preprocessed and a feature selection strategy selected, this screen shows the configuration of the Preference Learning algorithm that creates the final model.

Evaluation method

The user can select the training algorithm and the method to evaluate its performance.

Training algorithms

Two training algorithms for multi-layer perceptrons[1] and one for support vector machines[2] are supported, namely backpropagation[3], neuroevolution[4] and ranking SVM[5].