Create a predictive multi-label result


This function select the correct result and organize them in a prediction matrix where the columns are the labels and the rows are the test examples. If probability is TRUE the values contain the labels probabilities, otherwise the values are the predictive value '0' or '1'.


utiml_predict(predictions, probability)



The list of binary.prediction obtained from union of all binary predictions.


A logical value. If TRUE the predicted values are the score between 0 and 1, otherwise the values are bipartition 0 or 1.


A matrix containing the probabilistic values or just predictions. If the matrix contains the probabilistic values then an attribute called 'classes' contains the bipartitions values. Otherwise, if the matrix contains the bipartitions values then an attribute called 'probs' cantains the probabilities

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