{ "data_id": "11", "name": "car", "exact_name": "car", "version": 1, "version_label": "1", "description": "**Author**: \n**Source**: Unknown - \n**Please cite**: \n\n1. Title: Car Evaluation Database\n \n 2. Sources:\n (a) Creator: Marko Bohanec\n (b) Donors: Marko Bohanec (marko.bohanec@ijs.si)\n Blaz Zupan (blaz.zupan@ijs.si)\n (c) Date: June, 1997\n \n 3. Past Usage:\n \n The hierarchical decision model, from which this dataset is\n derived, was first presented in \n \n M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for\n multi-attribute decision making. In 8th Intl Workshop on Expert\n Systems and their Applications, Avignon, France. pages 59-78, 1988.\n \n Within machine-learning, this dataset was used for the evaluation\n of HINT (Hierarchy INduction Tool), which was proved to be able to\n completely reconstruct the original hierarchical model. This,\n together with a comparison with C4.5, is presented in\n \n B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by\n function decomposition. ICML-97, Nashville, TN. 1997 (to appear)\n \n 4. Relevant Information Paragraph:\n \n Car Evaluation Database was derived from a simple hierarchical\n decision model originally developed for the demonstration of DEX\n (M. Bohanec, V. Rajkovic: Expert system for decision\n making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates\n 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 \n Input attributes are printed in lowercase. Besides the target\n concept (CAR), the model includes three intermediate concepts:\n PRICE, TECH, COMFORT. Every concept is in the original model\n related to its lower level descendants by a set of examples (for\n these examples sets see http:\/\/www-ai.ijs.si\/BlazZupan\/car.html).\n \n The Car Evaluation Database contains examples with the structural\n information removed, i.e., directly relates CAR to the six input\n attributes: buying, maint, doors, persons, lug_boot, safety.\n \n Because of known underlying concept structure, this database may be\n particularly useful for testing constructive induction and\n structure discovery methods.\n \n 5. Number of Instances: 1728\n (instances completely cover the attribute space)\n \n 6. Number of Attributes: 6\n \n 7. Attribute Values:\n \n buying v-high, high, med, low\n maint v-high, high, med, low\n doors 2, 3, 4, 5-more\n persons 2, 4, more\n lug_boot small, med, big\n safety low, med, high\n \n 8. Missing Attribute Values: none\n \n 9. Class Distribution (number of instances per class)\n \n class N N[%]\n -----------------------------\n unacc 1210 (70.023 %) \n acc 384 (22.222 %) \n good 69 ( 3.993 %) \n v-good 65 ( 3.762 %) \n\n Information about the dataset\n CLASSTYPE: nominal\n CLASSINDEX: last", "format": "ARFF", "uploader": "Jan van Rijn", "uploader_id": 1, "visibility": "public", "creator": null, "contributor": null, "date": "2014-04-06 23:20:52", "update_comment": null, "last_update": "2014-04-06 23:20:52", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21\/dataset_21_car.arff", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "car", "1. Title: Car Evaluation Database 2. Sources: (a) Creator: Marko Bohanec (b) Donors: Marko Bohanec (marko.bohanec@ijs.si) Blaz Zupan (blaz.zupan@ijs.si) (c) Date: June, 1997 3. Past Usage: The hierarchical decision model, from which this dataset is derived, was first presented in M. 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. Within machine-le " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1728, "NumberOfFeatures": 7, "NumberOfClasses": 4, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 0, "NumberOfSymbolicFeatures": 7, "AutoCorrelation": 0.5993051534452808, "CfsSubsetEval_DecisionStumpAUC": 0.9674069051181599, "CfsSubsetEval_DecisionStumpErrRate": 0.13078703703703703, "CfsSubsetEval_DecisionStumpKappa": 0.7124332587407025, "CfsSubsetEval_NaiveBayesAUC": 0.9674069051181599, "CfsSubsetEval_NaiveBayesErrRate": 0.13078703703703703, "CfsSubsetEval_NaiveBayesKappa": 0.7124332587407025, "CfsSubsetEval_kNN1NAUC": 0.9674069051181599, "CfsSubsetEval_kNN1NErrRate": 0.13078703703703703, "CfsSubsetEval_kNN1NKappa": 0.7124332587407025, "ClassEntropy": 1.2057409700121753, "DecisionStumpAUC": 0.7216223610073902, "DecisionStumpErrRate": 0.29976851851851855, "DecisionStumpKappa": 0, "Dimensionality": 0.004050925925925926, "EquivalentNumberOfAtts": 10.538249177645039, "J48.00001.AUC": 0.9674069051181599, "J48.00001.ErrRate": 0.13078703703703703, "J48.00001.Kappa": 0.7124332587407025, "J48.0001.AUC": 0.9674069051181599, "J48.0001.ErrRate": 0.13078703703703703, "J48.0001.Kappa": 0.7124332587407025, "J48.001.AUC": 0.9674069051181599, "J48.001.ErrRate": 0.13078703703703703, "J48.001.Kappa": 0.7124332587407025, "MajorityClassPercentage": 70.02314814814815, "MajorityClassSize": 1210, "MaxAttributeEntropy": 2, "MaxKurtosisOfNumericAtts": null, "MaxMeansOfNumericAtts": null, "MaxMutualInformation": 0.26218435655426, "MaxNominalAttDistinctValues": 4, "MaxSkewnessOfNumericAtts": null, "MaxStdDevOfNumericAtts": null, "MeanAttributeEntropy": 1.792481250360578, "MeanKurtosisOfNumericAtts": null, "MeanMeansOfNumericAtts": null, "MeanMutualInformation": 0.11441568230991667, "MeanNoiseToSignalRatio": 14.666394799843093, "MeanNominalAttDistinctValues": 3.5714285714285716, "MeanSkewnessOfNumericAtts": null, "MeanStdDevOfNumericAtts": null, "MinAttributeEntropy": 1.584962500721156, "MinKurtosisOfNumericAtts": null, "MinMeansOfNumericAtts": null, "MinMutualInformation": 0.00448571662663, "MinNominalAttDistinctValues": 3, "MinSkewnessOfNumericAtts": null, "MinStdDevOfNumericAtts": null, "MinorityClassPercentage": 3.761574074074074, "MinorityClassSize": 65, "NaiveBayesAUC": 0.9709622827748403, "NaiveBayesErrRate": 0.15219907407407407, "NaiveBayesKappa": 0.6467669425393134, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "PercentageOfNumericFeatures": 0, "PercentageOfSymbolicFeatures": 100, "Quartile1AttributeEntropy": 1.584962500721156, "Quartile1KurtosisOfNumericAtts": null, "Quartile1MeansOfNumericAtts": null, "Quartile1MutualInformation": 0.023627535092364996, "Quartile1SkewnessOfNumericAtts": null, "Quartile1StdDevOfNumericAtts": null, "Quartile2AttributeEntropy": 1.792481250360578, "Quartile2KurtosisOfNumericAtts": null, "Quartile2MeansOfNumericAtts": null, "Quartile2MutualInformation": 0.085076458045545, "Quartile2SkewnessOfNumericAtts": null, "Quartile2StdDevOfNumericAtts": null, "Quartile3AttributeEntropy": 2, "Quartile3KurtosisOfNumericAtts": null, "Quartile3MeansOfNumericAtts": null, "Quartile3MutualInformation": 0.2302933116434975, "Quartile3SkewnessOfNumericAtts": null, "Quartile3StdDevOfNumericAtts": null, "REPTreeDepth1AUC": 0.9639699018745697, "REPTreeDepth1ErrRate": 0.15046296296296297, "REPTreeDepth1Kappa": 0.6739792986142961, "REPTreeDepth2AUC": 0.9639699018745697, "REPTreeDepth2ErrRate": 0.15046296296296297, "REPTreeDepth2Kappa": 0.6739792986142961, "REPTreeDepth3AUC": 0.9639699018745697, "REPTreeDepth3ErrRate": 0.15046296296296297, "REPTreeDepth3Kappa": 0.6739792986142961, "RandomTreeDepth1AUC": 0.884200535601469, "RandomTreeDepth1ErrRate": 0.17418981481481483, "RandomTreeDepth1Kappa": 0.6066668683263258, "RandomTreeDepth2AUC": 0.884200535601469, "RandomTreeDepth2ErrRate": 0.17418981481481483, "RandomTreeDepth2Kappa": 0.6066668683263258, "RandomTreeDepth3AUC": 0.884200535601469, "RandomTreeDepth3ErrRate": 0.17418981481481483, "RandomTreeDepth3Kappa": 0.6066668683263258, "StdvNominalAttDistinctValues": 0.5345224838248487, "kNN1NAUC": 0.9859103900713602, "kNN1NErrRate": 0.10706018518518519, "kNN1NKappa": 0.7503139820421016 }, "tags": [ { "tag": "study_14", "uploader": "1" }, { "tag": "study_1", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_141", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_124", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_286", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_15", "uploader": "0" }, { "tag": "study_17", "uploader": "0" }, { "tag": "study_29", "uploader": "0" }, { "tag": "study_32", "uploader": "0" }, { "tag": "study_48", "uploader": "0" }, { "tag": "study_69", "uploader": "0" }, { "tag": "study_90", "uploader": "0" }, { "tag": "study_92", "uploader": "0" }, { "tag": "study_94", "uploader": "0" }, { "tag": "study_96", "uploader": "0" }, { "tag": "study_98", "uploader": "0" }, { "tag": "study_127", "uploader": "0" }, { "tag": "study_173", "uploader": "0" }, { "tag": "study_286", "uploader": "0" }, { "tag": "study_110", "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", "descriptions": [ { "type": "ontology", "value": "https:\/\/en.wikipedia.org\/wiki\/Service_(motor_vehicle)" } ], "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", "descriptions": [ { "type": "ontology", "value": "https:\/\/en.wikipedia.org\/wiki\/Car_door" }, { "type": "ontology", "value": "https:\/\/en.wikipedia.org\/wiki\/Door" } ], "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", "descriptions": [ { "type": "ontology", "value": "https:\/\/en.wikipedia.org\/wiki\/Passenger_vehicles_in_the_United_States" } ], "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": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }