{ "data_id": "41919", "name": "CPMP-2015-runtime-classification", "exact_name": "CPMP-2015-runtime-classification", "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 12:34:25", "update_comment": null, "last_update": "2019-06-19 12:34:25", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21378712\/file248cdf4cb6.arff", "default_target_attribute": "algorithm", "row_id_attribute": "row_id", "ignore_attribute": null, "runs": 13, "suggest": { "input": [ "CPMP-2015-runtime-classification", "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": 527, "NumberOfFeatures": 23, "NumberOfClasses": 4, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 22, "NumberOfSymbolicFeatures": 1, "Quartile1SkewnessOfNumericAtts": 0.12134019990103784, "MeanMeansOfNumericAtts": 4.069849398463, "Quartile1StdDevOfNumericAtts": 0.1321994865931491, "AutoCorrelation": 0.4543726235741445, "MeanMutualInformation": null, "Quartile2AttributeEntropy": null, "ClassEntropy": 1.8800596155195604, "MeanNoiseToSignalRatio": null, "Quartile2KurtosisOfNumericAtts": -0.23354201346695502, "Dimensionality": 0.04364326375711575, "MeanNominalAttDistinctValues": 4, "Quartile2MeansOfNumericAtts": 0.7936534895635671, "EquivalentNumberOfAtts": null, "MeanSkewnessOfNumericAtts": 0.46249255607903555, "Quartile2MutualInformation": null, "MajorityClassPercentage": 39.46869070208729, "MeanStdDevOfNumericAtts": 1.8089946009351126, "Quartile2SkewnessOfNumericAtts": 0.5899631220617713, "MajorityClassSize": 208, "MinAttributeEntropy": null, "PercentageOfBinaryFeatures": 0, "Quartile2StdDevOfNumericAtts": 0.4896066105882946, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -2.006920996435009, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "MaxKurtosisOfNumericAtts": 6.123205264379703, "MinMeansOfNumericAtts": 0.06597881043643254, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 0.43206729665440835, "MaxMeansOfNumericAtts": 30.20303605313095, "MinMutualInformation": null, "PercentageOfNumericFeatures": 95.65217391304348, "Quartile3MeansOfNumericAtts": 4.761845927419355, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 4, "PercentageOfSymbolicFeatures": 4.3478260869565215, "Quartile3MutualInformation": null, 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