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Multiobjective Sparse Ensemble Learning by Means of Evolutionary Algorithms

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Figure

Table 1: A two-by-two confusion matrix of binary classifiers True class
Table 2: The details of MNIST dataset used in the experiments
Table 3: Mean and standard deviation of accuracy of ensemble methods on MNIST datasets Methods Datasets ds1 ds2 ds3 ds4 ds5 MP 0.9889 ± 0.0028 0.9766 ± 0.0023 0.9355 ± 0.0051 0.9419 ± 0.0046 0.9570 ± 0.0035 KP 0.9829 ± 0.0038 0.9695 ± 0.0043 0.9204 ± 0.004
Table 5: Mean and standard deviation of fpr of ensemble methods on MNIST datasets
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