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  "Description": "We introduced a novel ensemble-based explainable machine\nlearning model using Model Confidence Set (MCS) and two stage\nTechnique for Order of Preference by Similarity to Ideal\nSolution (TOPSIS) algorithm. The model combined the predictive\ncapabilities of different machine-learning models and\nintegrates the interpretability of explainability methods. To\ndevelop the proposed algorithm, a two-stage Technique for Order\nof Preference by Similarity to Ideal Solution (TOPSIS)\nframework was employed. The package has been developed using\nthe algorithm of Paul et al. (2023)\n<doi:10.1007/s40009-023-01218-x> and Yeasin and Paul (2024)\n<doi:10.1007/s11227-023-05542-3>.",
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