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Training datasets are given to the PSO algorithm to attain the best objective function value.
Training datasets are given to the GA, and the reproduction or selection operator selects above-average strings among others and insert their multiple copies in the mating pool based on a probabilistic procedure.
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The detail descriptions of the datasets are given at Table 2.
The main features used to build these three rotational datasets are given in Table 1, compared to three other datasets from the literature.
Moreover, these datasets are given digital object identifiers (DOIs) to enhance searching, tracking and citation.
Experimental evaluations using real datasets are given in Sect. 5.
The descriptions of the two credit datasets are given as follows: 1.
The details of the experimental setup, code and datasets are given in the Methods Section.
The ROC curves of different time windows for both datasets are given in Figure 9.
Details of the datasets are given in Table 1 (R = 0.9902).
The general properties of the two datasets are given in Table 2.
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