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Enactment Ranking of Supervised Algorithms Dependence of Data Splitting Algorithms: A Case Study of Real Datasets
2020
Zenodo
We conducted comparative analysis of different supervised dimension reduction techniques by integrating a set of different data splitting algorithms and demonstrate the relative efficacy of learning algorithms dependence of sample complexity. The issue of sample complexity discussed in the dependence of data splitting algorithms. In line with the expectations, every supervised learning classifier demonstrated different capability for different data splitting algorithms and no way to calculate
doi:10.5281/zenodo.3793845
fatcat:rz2ucvs5pfeb7fgkykdxmv7jtm