Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood

We conduct experiments on a public benchmark containing 36 datasets. The results of the experiments show that our EODE-CLL significantly outperforms state-of-the-art ensemble SPODE methods in terms of accuracy, F-measure, bias, and variance.