Designing a Set of Complexity Measures for Meta-Learning Based Instance Selection
Abstract:A pre-processing method for data mining and machine learning is instance selection. The fundamental issue is that earlier methods still have trouble creating quality samples for classifier training. In this work, the system updates the specification of a few measures that were created for instance selection based on meta-learning. Moreover, the system Three sets of measurements, 59 databases, 16 instance selection techniques, two classifiers, and eight regression learners acting as meta-learners were all emplo… Show more
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