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R. A

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Open access Aug 2026

An Explainable AutoML Pipeline for Multi-Task Tabular Data Using Optuna and SHAP

This research introduces an Explainable AutoML Pipeline for performing automated data pre-processing, multi-model learning, hyperparameter optimization using Optuna, model selection using a leaderboard, and finally interpreting the results using SHAP.

A. S, R. A, Shanmathi K. et al. · 0 citations