Datasets used to evaluate Layered TPOT against 'vanilla' TPOT. Comprises a selection of large datasets, with between 100k and 1m instances each, contains pseudo-synthetic datasets.
0 datasets, 0 tasks, 0 flows, 0 runs
Collection of new classification tasks for the AutoML Benchmark (https://github.com/openml/automlbenchmark).
29 datasets, 29 tasks, 0 flows, 0 runs
Collection of regression tasks for the AutoML Benchmark (https://github.com/openml/automlbenchmark).
33 datasets, 33 tasks, 0 flows, 0 runs
The original set of tasks for the AutoML benchmark presented in “An Open Source AutoML Benchmark” by Gijsbers et al. at the AutoML workshop at ICML 2019. The set of tasks aims to provide a…
39 datasets, 39 tasks, 0 flows, 0 runs
Results from the original AutoML benchmark paper presented in “An Open Source AutoML Benchmark” by Gijsbers et al. at the AutoML workshop at ICML 2019. It contains the results of running several…
19 datasets, 19 tasks, 6 flows, 117 runs
Description
39 datasets, 39 tasks, 1 flows, 39 runs
Description
2 datasets, 2 tasks, 1 flows, 2 runs
Collection of all classification tasks for the AutoML Benchmark (https://github.com/openml/automlbenchmark).
71 datasets, 71 tasks, 0 flows, 0 runs