{
    "data_id": "344",
    "name": "mv",
    "exact_name": "mv",
    "version": 1,
    "version_label": null,
    "description": "**Author**: Luis Torgo  \n**Source**: [original](http:\/\/www.dcc.fc.up.pt\/~ltorgo\/Regression\/DataSets.html) -   \n**Please cite**:   \n\nThis is an artificial data set with dependencies between the attribute values. The cases are generated using the following method:\n\nX1 : uniformly distributed over [-5,5]\nX2 : uniformly distributed over [-15,-10]\nX3 : IF (X1 > 0) THEN X3 = green\n ELSE X3 = red with probability 0.4 and X4=brown with prob. 0.6\nX4 : IF (X3=green) THEN X4=X1+2X2\n ELSE X4=X1\/2 with prob. 0.3, and X4=X2\/2 with prob. 0.7\nX5 : uniformly distributed over [-1,1]\nX6 : X6=X4*[epsilon], where [epsilon] is uniformly distribute over [0,5]\nX7 : X7=yes with prob. 0.3 and X7=no with prob. 0.7\nX8 : IF (X5 < 0.5) THEN X8 = normal ELSE X8 = large\nX9 : uniformly distributed over [100,500]\nX10 : uniformly distributed integer over the interval [1000,1200]\n \nObtain the value of the target variable Y using the rules:\nIF (X2 > 2 ) THEN Y = 35 - 0.5 X4\n ELSE IF (-2 <= X4 <= 2) THEN Y = 10 - 2 X1\n ELSE IF (X7 = yes) THEN Y = 3 -X1\/X4\n ELSE IF (X8 = normal) THEN Y = X6 + X1\n ELSE Y = X1\/2\n\nSource: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http:\/\/www.dcc.fc.up.pt\/~ltorgo\/Regression\/DataSets.html",
    "format": "ARFF",
    "uploader": "Joaquin Vanschoren",
    "uploader_id": 2,
    "visibility": "public",
    "creator": "\"Luis Torgo\"",
    "contributor": null,
    "date": "2014-08-26 22:41:01",
    "update_comment": null,
    "last_update": "2014-08-26 22:41:01",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/52247\/php2DaFKg",
    "kaggle_url": null,
    "default_target_attribute": "y",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 3,
    "suggest": {
        "input": [
            "mv",
            "This is an artificial data set with dependencies between the attribute values. The cases are generated using the following method: X1 : uniformly distributed over [-5,5] X2 : uniformly distributed over [-15,-10] X3 : IF (X1 > 0) THEN X3 = green ELSE X3 = red with probability 0.4 and X4=brown with prob. 0.6 X4 : IF (X3=green) THEN X4=X1+2X2 ELSE X4=X1\/2 with prob. 0.3, and X4=X2\/2 with prob. 0.7 X5 : uniformly distributed over [-1,1] X6 : X6=X4*[epsilon], where [epsilon] is uniformly distribute o "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 40768,
        "NumberOfFeatures": 11,
        "NumberOfClasses": 0,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 8,
        "NumberOfSymbolicFeatures": 3,
        "MaxStdDevOfNumericAtts": 115.27303730661535,
        "MinorityClassPercentage": null,
        "PercentageOfNumericFeatures": 72.72727272727273,
        "Quartile3MeansOfNumericAtts": 224.4201167574889,
        "CfsSubsetEval_DecisionStumpAUC": null,
        "RandomTreeDepth2AUC": null,
        "J48.00001.ErrRate": null,
        "MeanAttributeEntropy": null,
        "MinorityClassSize": null,
        "PercentageOfSymbolicFeatures": 27.27272727272727,
        "Quartile3MutualInformation": null,
        "CfsSubsetEval_DecisionStumpErrRate": null,
        "RandomTreeDepth2ErrRate": null,
        "J48.00001.Kappa": null,
        "MeanKurtosisOfNumericAtts": -1.0007650142713618,
        "NaiveBayesAUC": null,
        "Quartile1AttributeEntropy": null,
        "Quartile3SkewnessOfNumericAtts": 0.004358178801468839,
        "CfsSubsetEval_DecisionStumpKappa": null,
        "RandomTreeDepth2Kappa": null,
        "J48.0001.AUC": null,
        "MeanMeansOfNumericAtts": 170.3379828917901,
        "NaiveBayesErrRate": null,
        "Quartile1KurtosisOfNumericAtts": -1.2034668370437687,
        "Quartile3StdDevOfNumericAtts": 46.23593802971556,
        "CfsSubsetEval_NaiveBayesAUC": null,
        "RandomTreeDepth3AUC": null,
        "J48.0001.ErrRate": null,
        "MeanMutualInformation": null,
        "NaiveBayesKappa": null,
        "Quartile1MeansOfNumericAtts": -10.493609424344124,
        "REPTreeDepth1AUC": null,
        "CfsSubsetEval_NaiveBayesErrRate": null,
        "RandomTreeDepth3ErrRate": null,
        "J48.0001.Kappa": null,
        "MeanNoiseToSignalRatio": null,
        "NumberOfBinaryFeatures": 2,
        "Quartile1MutualInformation": null,
        "REPTreeDepth1ErrRate": null,
        "CfsSubsetEval_NaiveBayesKappa": null,
        "RandomTreeDepth3Kappa": null,
        "J48.001.AUC": null,
        "MeanNominalAttDistinctValues": 2.3333333333333335,
        "Quartile1SkewnessOfNumericAtts": -0.24249962337645428,
        "REPTreeDepth1Kappa": null,
        "CfsSubsetEval_kNN1NAUC": null,
        "StdvNominalAttDistinctValues": 0.5773502691896258,
        "J48.001.ErrRate": null,
        "MeanSkewnessOfNumericAtts": -0.023318235458600955,
        "Quartile1StdDevOfNumericAtts": 1.8060873817739331,
        "REPTreeDepth2AUC": null,
        "CfsSubsetEval_kNN1NErrRate": null,
        "kNN1NAUC": null,
        "J48.001.Kappa": null,
        "MeanStdDevOfNumericAtts": 25.310286503649962,
        "Quartile2AttributeEntropy": null,
        "REPTreeDepth2ErrRate": null,
        "CfsSubsetEval_kNN1NKappa": null,
        "kNN1NErrRate": null,
        "MajorityClassPercentage": null,
        "MinAttributeEntropy": null,
        "Quartile2KurtosisOfNumericAtts": -1.193089413638349,
        "REPTreeDepth2Kappa": null,
        "ClassEntropy": null,
        "kNN1NKappa": null,
        "MajorityClassSize": null,
        "MinKurtosisOfNumericAtts": -1.2054637290423134,
        "Quartile2MeansOfNumericAtts": -2.1997195449697164,
        "REPTreeDepth3AUC": null,
        "DecisionStumpAUC": null,
        "MaxAttributeEntropy": null,
        "MinMeansOfNumericAtts": -12.49774613912873,
        "Quartile2MutualInformation": null,
        "REPTreeDepth3ErrRate": null,
        "DecisionStumpErrRate": null,
        "MaxKurtosisOfNumericAtts": -0.4718562827879351,
        "MinMutualInformation": null,
        "Quartile2SkewnessOfNumericAtts": -0.002979197024671408,
        "REPTreeDepth3Kappa": null,
        "DecisionStumpKappa": null,
        "MaxMeansOfNumericAtts": 1100.2709723312403,
        "MinNominalAttDistinctValues": 2,
        "PercentageOfBinaryFeatures": 18.181818181818183,
        "Quartile2StdDevOfNumericAtts": 6.7217645505574986,
        "RandomTreeDepth1AUC": null,
        "Dimensionality": 0.00026981946624803766,
        "MaxMutualInformation": null,
        "MinSkewnessOfNumericAtts": -0.8348427909918515,
        "PercentageOfInstancesWithMissingValues": 0,
        "Quartile3AttributeEntropy": null,
        "RandomTreeDepth1ErrRate": null,
        "EquivalentNumberOfAtts": null,
        "MaxNominalAttDistinctValues": 3,
        "MinStdDevOfNumericAtts": 0.5769759982860736,
        "PercentageOfMissingValues": 0,
        "Quartile3KurtosisOfNumericAtts": -0.678237134019248,
        "AutoCorrelation": -10.418089897558247,
        "RandomTreeDepth1Kappa": null,
        "J48.00001.AUC": null,
        "MaxSkewnessOfNumericAtts": 0.9737649773929467
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Data Science"
        },
        {
            "uploader": "5243",
            "tag": "OpenML-Reg19"
        },
        {
            "uploader": "5824",
            "tag": "study_130"
        },
        {
            "uploader": "5243",
            "tag": "synthetic"
        }
    ],
    "features": [
        {
            "name": "y",
            "index": "10",
            "type": "numeric",
            "distinct": "39029",
            "missing": "0",
            "target": "1",
            "min": "-42",
            "max": "2",
            "mean": "-9",
            "stdev": "10"
        },
        {
            "name": "x1",
            "index": "0",
            "type": "numeric",
            "distinct": "40105",
            "missing": "0",
            "min": "-5",
            "max": "5",
            "mean": "0",
            "stdev": "3"
        },
        {
            "name": "x2",
            "index": "1",
            "type": "numeric",
            "distinct": "27796",
            "missing": "0",
            "min": "-15",
            "max": "0",
            "mean": "-12",
            "stdev": "1"
        },
        {
            "name": "x3",
            "index": "2",
            "type": "nominal",
            "distinct": "3",
            "missing": "0",
            "distr": []
        },
        {
            "name": "x4",
            "index": "3",
            "type": "numeric",
            "distinct": "39011",
            "missing": "0",
            "min": "-7",
            "max": "2",
            "mean": "-4",
            "stdev": "3"
        },
        {
            "name": "x5",
            "index": "4",
            "type": "numeric",
            "distinct": "40418",
            "missing": "0",
            "min": "-1",
            "max": "1",
            "mean": "0",
            "stdev": "1"
        },
        {
            "name": "x6",
            "index": "5",
            "type": "numeric",
            "distinct": "39833",
            "missing": "0",
            "min": "-37",
            "max": "12",
            "mean": "-11",
            "stdev": "11"
        },
        {
            "name": "x7",
            "index": "6",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "x8",
            "index": "7",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": []
        },
        {
            "name": "x9",
            "index": "8",
            "type": "numeric",
            "distinct": "38738",
            "missing": "0",
            "min": "100",
            "max": "500",
            "mean": "299",
            "stdev": "115"
        },
        {
            "name": "x10",
            "index": "9",
            "type": "numeric",
            "distinct": "201",
            "missing": "0",
            "min": "1000",
            "max": "1200",
            "mean": "1100",
            "stdev": "58"
        }
    ],
    "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
}