{ "data_id": "40975", "name": "car", "exact_name": "car", "version": 3, "version_label": "3", "description": "**Author**: Marko Bohanec, Blaz Zupan \n**Source**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/car+evaluation) - 1997 \n**Please cite**: [UCI](http:\/\/archive.ics.uci.edu\/ml\/citation_policy.html) \n\n**Car Evaluation Database** \nThis database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX (M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.).\n\nThe model evaluates cars according to the following concept structure:\n \n CAR car acceptability\n . PRICE overall price\n . . buying buying price\n . . maint price of the maintenance\n . TECH technical characteristics\n . . COMFORT comfort\n . . . doors number of doors\n . . . persons capacity in terms of persons to carry\n . . . lug_boot the size of luggage boot\n . . safety estimated safety of the car\n \nInput attributes are printed in lowercase. Besides the target concept (CAR), the model includes three intermediate concepts: PRICE, TECH, COMFORT. Every concept is in the original model related to its lower level descendants by a set of examples (for\nthese examples sets see http:\/\/www-ai.ijs.si\/BlazZupan\/car.html).\n \nThe Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety. Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods.\n\n### Changes with respect to car (1)\n\nThe ordinal variables are stored as ordered factors in this version. \n\n### Relevant papers: \nM. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for multi-attribute decision making. In 8th Intl Workshop on Expert Systems and their Applications, Avignon, France. pages 59-78, 1988. \n\nM. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.", "format": "ARFF", "uploader": "Jann Goschenhofer", "uploader_id": 4265, "visibility": "public", "creator": null, "contributor": null, "date": "2017-11-30 20:27:42", "update_comment": null, "last_update": "2017-11-30 20:27:42", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/18116966\/php2jDIhh", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 7180, "suggest": { "input": [ "car", "This database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX (M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates cars according to the following concept structure: CAR car acceptability . PRICE overall price . . buying buying price . . maint price of the maintenance . TECH technical characteristics . . COMFORT comfort . . . doors number of doors . . . persons capacity in ter " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1728, "NumberOfFeatures": 7, "NumberOfClasses": 4, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 0, "NumberOfSymbolicFeatures": 7, "MinSkewnessOfNumericAtts": null, "PercentageOfSymbolicFeatures": 100, "Quartile3MutualInformation": 0.2302933116434975, "MaxNominalAttDistinctValues": 4, "MinStdDevOfNumericAtts": null, "Quartile1AttributeEntropy": 1.584962500721156, "Quartile3SkewnessOfNumericAtts": null, "MaxSkewnessOfNumericAtts": null, "MinorityClassPercentage": 3.761574074074074, "Quartile1KurtosisOfNumericAtts": null, "Quartile3StdDevOfNumericAtts": null, "MaxStdDevOfNumericAtts": null, "MinorityClassSize": 65, "Quartile1MeansOfNumericAtts": null, "StdvNominalAttDistinctValues": 0.5345224838248487, "MeanAttributeEntropy": 1.792481250360578, "NumberOfBinaryFeatures": 0, "Quartile1MutualInformation": 0.023627535092364996, "MeanKurtosisOfNumericAtts": null, "Quartile1SkewnessOfNumericAtts": null, "MeanMeansOfNumericAtts": null, "Quartile1StdDevOfNumericAtts": null, "AutoCorrelation": 0.5993051534452808, "MeanMutualInformation": 0.11441568230991667, "MeanNoiseToSignalRatio": 14.666394799843093, "Quartile2AttributeEntropy": 1.792481250360578, "ClassEntropy": 1.2057409700121753, "MeanNominalAttDistinctValues": 3.5714285714285716, "Quartile2KurtosisOfNumericAtts": null, "Dimensionality": 0.004050925925925926, "MeanSkewnessOfNumericAtts": null, "Quartile2MeansOfNumericAtts": null, "EquivalentNumberOfAtts": 10.538249177645039, "MeanStdDevOfNumericAtts": null, "Quartile2MutualInformation": 0.085076458045545, "MajorityClassPercentage": 70.02314814814815, "MinAttributeEntropy": 1.584962500721156, "Quartile2SkewnessOfNumericAtts": null, "MajorityClassSize": 1210, "MinKurtosisOfNumericAtts": null, "PercentageOfBinaryFeatures": 0, "Quartile2StdDevOfNumericAtts": null, "MaxAttributeEntropy": 2, "MinMeansOfNumericAtts": null, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": 2, "MaxKurtosisOfNumericAtts": null, "MinMutualInformation": 0.00448571662663, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": null, "MaxMeansOfNumericAtts": null, "MinNominalAttDistinctValues": 3, "PercentageOfNumericFeatures": 0, "Quartile3MeansOfNumericAtts": null, "MaxMutualInformation": 0.26218435655426 }, "tags": [ { "tag": "Computer Systems", "uploader": "38960" }, { "tag": "Economics", "uploader": "38960" }, { "tag": "OpenML-CC18", "uploader": "1" }, { "tag": "study_135", "uploader": "5824" }, { "tag": "study_144", "uploader": "5824" }, { "tag": "study_218", "uploader": "869" }, { "tag": "study_98", "uploader": "1935" }, { "tag": "study_99", "uploader": "1" }, { "tag": "uci", "uploader": "9180" }, { "tag": "study_271", "uploader": "0" }, { "tag": "study_240", "uploader": "0" }, { "tag": "study_253", "uploader": "0" }, { "tag": "study_285", "uploader": "0" }, { "tag": "study_275", "uploader": "0" } ], "features": [ { "name": "class", "index": "6", "type": "nominal", "distinct": "4", "missing": "0", "target": "1", "distr": [ [ "unacc", "acc", "good", "vgood" ], [ [ "1210", "0", "0", "0" ], [ "0", "384", "0", "0" ], [ "0", "0", "69", "0" ], [ "0", "0", "0", "65" ] ] ] }, { "name": "buying", "index": "0", "type": "nominal", "distinct": "4", "missing": "0", "distr": [ [ "vhigh", "high", "med", "low" ], [ [ "360", "72", "0", "0" ], [ "324", "108", "0", "0" ], [ "268", "115", "23", "26" ], [ "258", "89", "46", "39" ] ] ] }, { "name": "maint", "index": "1", "type": "nominal", "distinct": "4", "missing": "0", "distr": [ [ "vhigh", "high", "med", "low" ], [ [ "360", "72", "0", "0" ], [ "314", "105", "0", "13" ], [ "268", "115", "23", "26" ], [ "268", "92", "46", "26" ] ] ] }, { "name": "doors", "index": "2", "type": "nominal", "distinct": "4", "missing": "0", "distr": [ [ "2", "3", "4", "5more" ], [ [ "326", "81", "15", "10" ], [ "300", "99", "18", "15" ], [ "292", "102", "18", "20" ], [ "292", "102", "18", "20" ] ] ] }, { "name": "persons", "index": "3", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "2", "4", "more" ], [ [ "576", "0", "0", "0" ], [ "312", "198", "36", "30" ], [ "322", "186", "33", "35" ] ] ] }, { "name": "lug_boot", "index": "4", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "small", "med", "big" ], [ [ "450", "105", "21", "0" ], [ "392", "135", "24", "25" ], [ "368", "144", "24", "40" ] ] ] }, { "name": "safety", "index": "5", "type": "nominal", "distinct": "3", "missing": "0", "distr": [ [ "low", "med", "high" ], [ [ "576", "0", "0", "0" ], [ "357", "180", "39", "0" ], [ "277", "204", "30", "65" ] ] ] } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 11, "total_downloads": 14, "reach": 11, "reuse": 25, "impact_of_reuse": 0, "reach_of_reuse": 1, "impact": 25 }