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TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
March 20, 2024, 4:43 a.m. | David Salinas, Nick Erickson
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce TabRepo, a new dataset of tabular model evaluations and predictions. TabRepo contains the predictions and metrics of 1310 models evaluated on 200 classification and regression datasets. We illustrate the benefit of our dataset in multiple ways. First, we show that it allows to perform analysis such as comparing Hyperparameter Optimization against current AutoML systems while also considering ensembling at marginal cost by using precomputed model predictions. Second, we show that our dataset can …
abstract applications arxiv automl benefit classification cs.ai cs.lg dataset datasets metrics multiple predictions regression scale show tabular type
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