<ul><li>Automated Machine Learning (AutoML) frameworks are evaluated using the AutoML Benchmark (AMLB).</li><li>AMLB proposed to evaluate frameworks using 1- and 4-hour time budgets.</li><li>This work argues for considering shorter time constraints in the benchmark for practical value.</li><li>Evaluations on 104 tasks show consistent rankings across time constraints and greater variety in model performance with early stopping.</li></ul>

AutoML Benchmark with shorter time constraints and early stopping

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