{ "data_id": "41928", "name": "CPMP-2015-runtime-regression", "exact_name": "CPMP-2015-runtime-regression", "version": 1, "version_label": null, "description": "source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP)\nauthors: K. Tierney and Y. Malitsky (features) \/ K. Tierney and D. Pacino and S. Voss (algorithms)\ntranslator in coseal format: K. Tierney\n\nThis is an extension of the 2013 premarshalling dataset that includes more features and a set of test instances. \n\nThere are three sets of features:\n\nfeature_values.arff contains the full set of features from iteration 2 of our latent feature analysis (LFA) process (see paper)\nfeature_values_itr1.arff contains only the features after iteration 1 of LFA\nfeature_values_orig.arff containers the features used in PREMARHSALLING-ASTAR-2013\n\nWe also provide test data with an identical naming scheme (see _test). \n\nThe features for the pre-marshalling problem are all extremely easy and fast to\ncompute, thus the feature_costs.arff file has been omitted, as it would be time\n0 for every feature (regardless of using original, iteration 1 or iteration 2\nfeatures).\n\nThe feature computation code is available at https:\/\/bitbucket.org\/eusorpb\/cpmp-as\n\nNote: previously the scenario was called PREMARSHALLING-ASTAR-2015. To save same space, we renamed the scenario.", "format": "ARFF", "uploader": "Martin Hoang", "uploader_id": 8316, "visibility": "public", "creator": null, "contributor": null, "date": "2019-06-19 14:48:51", "update_comment": null, "last_update": "2019-06-19 14:48:51", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21378721\/file13b8698041a.arff", "default_target_attribute": "runtime", "row_id_attribute": "row_id", "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "CPMP-2015-runtime-regression", "source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) \/ K. Tierney and D. Pacino and S. Voss (algorithms) translator in coseal format: K. Tierney This is an extension of the 2013 premarshalling dataset that includes more features and a set of test instances. There are three sets of features: feature_values.arff contains the full set of features from iteration 2 of our latent feature analysis (LFA) process (see pap " ], "weight": 5 }, "qualities": { "NumberOfInstances": 2108, "NumberOfFeatures": 24, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 23, "NumberOfSymbolicFeatures": 1, "MeanMeansOfNumericAtts": 54.541933229583336, "Quartile1SkewnessOfNumericAtts": 0.1525787309553951, "AutoCorrelation": -997.2410037968693, "MeanMutualInformation": null, "Quartile1StdDevOfNumericAtts": 0.13903323590593156, "ClassEntropy": null, "MeanNoiseToSignalRatio": null, "Quartile2AttributeEntropy": null, "Dimensionality": 0.011385199240986717, "MeanNominalAttDistinctValues": 4, "Quartile2KurtosisOfNumericAtts": -0.38166141113722674, "EquivalentNumberOfAtts": null, "MeanSkewnessOfNumericAtts": 0.4766923712122562, "Quartile2MeansOfNumericAtts": 0.8505986242884257, "MajorityClassPercentage": null, "MeanStdDevOfNumericAtts": 70.53616577857723, "Quartile2MutualInformation": null, "MajorityClassSize": null, "MinAttributeEntropy": null, "Quartile2SkewnessOfNumericAtts": 0.5957399922638349, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -2.0011927119937525, "PercentageOfBinaryFeatures": 0, "Quartile2StdDevOfNumericAtts": 0.5000745178798689, "MaxKurtosisOfNumericAtts": 6.071136443146282, "MinMeansOfNumericAtts": 0.0659788104364318, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "MaxMeansOfNumericAtts": 1164.9277775142311, "MinMutualInformation": null, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 0.22012913404145307, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 4, "PercentageOfNumericFeatures": 95.83333333333334, "Quartile3MeansOfNumericAtts": 5.874762808349146, "MaxNominalAttDistinctValues": 4, "MinSkewnessOfNumericAtts": -1.6776090137297506, "PercentageOfSymbolicFeatures": 4.166666666666666, "Quartile3MutualInformation": null, "MaxSkewnessOfNumericAtts": 1.8121805854826596, "MinStdDevOfNumericAtts": 0.05290050147290064, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 0.7876577620227276, "MaxStdDevOfNumericAtts": 1582.5622743950255, "MinorityClassPercentage": null, "Quartile1KurtosisOfNumericAtts": -1.0000758022924714, "Quartile3StdDevOfNumericAtts": 2.6924055555355046, "MeanAttributeEntropy": null, "MinorityClassSize": null, "Quartile1MeansOfNumericAtts": 0.46142524857685013, "StdvNominalAttDistinctValues": 0, "MeanKurtosisOfNumericAtts": -0.028770464338326602, "NumberOfBinaryFeatures": 0, "Quartile1MutualInformation": null }, "tags": [ { "tag": "Algorithm Selection", "uploader": "8316" }, { "tag": "R", "uploader": "8316" } ], "features": [ { "name": "runtime", "index": "23", "type": "numeric", "distinct": "1161", "missing": "0", "target": "1", "min": "0", "max": "3600", "mean": "1165", "stdev": "1583" }, { "name": "stacks", "index": "0", "type": 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