{
    "data_id": "46336",
    "name": "hayes-roth_clean",
    "exact_name": "hayes-roth_clean",
    "version": 1,
    "version_label": null,
    "description": "**Author**: Barbara and Frederick Hayes-Roth  \n  \n**Source**: [original](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Hayes-Roth) -   \n**Please cite**:   \n\nHayes-Roth Database\n\nThis is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks.\n\nSource Information: \n(a) Creators: Barbara and Frederick Hayes-Roth \n(b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779  \n(c) Date: March, 1989  \n\nAttribute Information: \n-- 1. name: distinct for each instance and represented numerically \n-- 2. hobby: nominal values ranging between 1 and 3 \n-- 3. age: nominal values ranging between 1 and 4 \n-- 4. educational level: nominal values ranging between 1 and 4 \n-- 5. marital status: nominal values ranging between 1 and 4 \n-- 6. class: nominal value between 1 and 3  \n\nDetailed description of the experiment: \n1. 3 categories (1, 2, and neither -- which I call 3) \n-- some of the instances could be classified in either class 1 or 2, and they have been evenly distributed between the two classes \n2. 5 Attributes \n-- A. name (a randomly-generated number between 1 and 132) \n-- B. hobby (a randomly-generated number between 1 and 3) \n-- C. age (a number between 1 and 4) \n-- D. education level (a number between 1 and 4) \n-- E. marital status (a number between 1 and 4) \n3. Classification:  \n-- only attributes C-E are diagnostic; values for A and B are ignored \n-- Class Neither: if a 4 occurs for any attribute C-E \n-- Class 1: Otherwise, if (# of 1's)>(# of 2's) for attributes C-E \n-- Class 2: Otherwise, if (# of 2's)>(# of 1's) for attributes C-E \n-- Either 1 or 2: Otherwise, if (# of 2's)=(# of 1's) for attributes C-E \n4. Prototypes: \n-- Class 1: 111 \n-- Class 2: 222 \n-- Class Either: 333 \n-- Class Neither: 444\n-----\nWe have redefined the number of classes to account for the real number of observations.",
    "format": "arff",
    "uploader": "Bruno Belucci Teixeira",
    "uploader_id": 30703,
    "visibility": "public",
    "creator": "\"Barbara and Frederick Hayes-Roth\"",
    "contributor": "\"Bruno Belucci\"",
    "date": "2024-09-05 17:26:46",
    "update_comment": null,
    "last_update": "2024-09-05 17:26:46",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22120905\/dataset",
    "kaggle_url": null,
    "default_target_attribute": "class",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "hayes-roth_clean",
            "Hayes-Roth Database This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks. Source Information: (a) Creators: Barbara and Frederick Hayes-Roth (b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779 (c) Date: March, 1989 Attribute Information: -- 1. name: distinct for each instance and represented numerically -- 2. hobby: nominal values ranging between 1 and 3 -- 3. age: nominal values  "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 160,
        "NumberOfFeatures": 5,
        "NumberOfClasses": 3,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 4,
        "NumberOfSymbolicFeatures": 1,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0,
        "PercentageOfMissingValues": 0,
        "AutoCorrelation": 0.4088050314465409,
        "PercentageOfNumericFeatures": 80,
        "Dimensionality": 0.03125,
        "PercentageOfSymbolicFeatures": 20,
        "MajorityClassPercentage": 40.625,
        "MajorityClassSize": 65,
        "MinorityClassPercentage": 19.375,
        "MinorityClassSize": 31,
        "NumberOfBinaryFeatures": 0
    },
    "tags": [],
    "features": [
        {
            "name": "class",
            "index": "4",
            "type": "nominal",
            "distinct": "3",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "1",
                    "2",
                    "3"
                ],
                [
                    [
                        "65",
                        "0",
                        "0"
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                        "0",
                        "64",
                        "0"
                    ],
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                        "0",
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                        "31"
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        },
        {
            "name": "hobby",
            "index": "0",
            "type": "numeric",
            "distinct": "3",
            "missing": "0",
            "min": "1",
            "max": "3",
            "mean": "2",
            "stdev": "1"
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            "type": "numeric",
            "distinct": "4",
            "missing": "0",
            "min": "1",
            "max": "4",
            "mean": "2",
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        },
        {
            "name": "educational_level",
            "index": "2",
            "type": "numeric",
            "distinct": "4",
            "missing": "0",
            "min": "1",
            "max": "4",
            "mean": "2",
            "stdev": "1"
        },
        {
            "name": "marital_status",
            "index": "3",
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            "distinct": "4",
            "missing": "0",
            "min": "1",
            "max": "4",
            "mean": "2",
            "stdev": "1"
        }
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    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
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}