Meta-datasets generated by the paper "Exploring One Million Machine Learning Pipelines: A Benchmarking Study"

READMEMachine learning pipelines run saved.Columns explanation:seed_i: seed used for the experimentsconfig_id: id of the configurationfold: fold of the datasetconfig_hash: hash value for the configurationsduration: durations of the runstart_time: start timeend_time: end timedataset: the name of the datasetstatus: Status of the run. If it succeeds or not.[metric_name]_[set split]: performance of the trained model on the set (train, val, test). For example, "f1_weighted_test" is the F1 Score of the trained pipeline on the test set.The remaining columns contain configuration space similar to AutoSklean.