{
    "data_id": "1462",
    "name": "banknote-authentication",
    "exact_name": "banknote-authentication",
    "version": 1,
    "version_label": null,
    "description": "Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe)  \nSource: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/banknote+authentication) - 2012  \nPlease cite: [UCI](https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html) \n\nDataset about distinguishing genuine and forged banknotes. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. A Wavelet Transform tool was used to extract features from these images.\n\n### Attribute Information  \n\nV1. variance of Wavelet Transformed image (continuous)  \nV2. skewness of Wavelet Transformed image (continuous)  \n\n\nClass (target). Presumably 1 for genuine and 2 for forged",
    "format": "ARFF",
    "uploader": "Rafael Gomes Mantovani",
    "uploader_id": 64,
    "visibility": "public",
    "creator": "Volker Lohweg",
    "contributor": null,
    "date": "2015-05-21 22:40:57",
    "update_comment": null,
    "last_update": "2016-01-18 18:45:44",
    "licence": "Public",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/1586223\/php50jXam",
    "kaggle_url": "https:\/\/www.kaggle.com\/datasets\/shantanuss\/banknote-authentication-uci",
    "default_target_attribute": "Class",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 138170,
    "suggest": {
        "input": [
            "banknote-authentication",
            "Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) Source: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/banknote+authentication) - 2012 Please cite: [UCI](https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html) Dataset about distinguishing genuine and forged banknotes. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 4 "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 1372,
        "NumberOfFeatures": 5,
        "NumberOfClasses": 2,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 4,
        "NumberOfSymbolicFeatures": 1,
        "Quartile2SkewnessOfNumericAtts": -0.27174558770618523,
        "REPTreeDepth3Kappa": 0.8515038072681896,
        "DecisionStumpKappa": 0.6220644978877691,
        "MaxMeansOfNumericAtts": 1.9223531209912545,
        "MinMutualInformation": null,
        "Quartile2StdDevOfNumericAtts": 3.576396338280576,
        "RandomTreeDepth1AUC": 0.8148164881029215,
        "Dimensionality": 0.0036443148688046646,
        "MaxMutualInformation": null,
        "MinNominalAttDistinctValues": 2,
        "PercentageOfBinaryFeatures": 20,
        "Quartile3AttributeEntropy": null,
        "RandomTreeDepth1ErrRate": 0.22448979591836735,
        "EquivalentNumberOfAtts": null,
        "MaxNominalAttDistinctValues": 2,
        "MinSkewnessOfNumericAtts": -1.022243043654092,
        "PercentageOfInstancesWithMissingValues": 0,
        "Quartile3KurtosisOfNumericAtts": 1.077230875627456,
        "AutoCorrelation": 0.9992706053975201,
        "RandomTreeDepth1Kappa": 0.5620538416256953,
        "J48.00001.AUC": 0.9854814767006583,
        "MaxSkewnessOfNumericAtts": 1.0885685435217796,
        "MinStdDevOfNumericAtts": 2.101013136739067,
        "PercentageOfMissingValues": 0,
        "Quartile3MeansOfNumericAtts": 1.79117161989796,
        "CfsSubsetEval_DecisionStumpAUC": 0.8344961490469428,
        "RandomTreeDepth2AUC": 0.9330450496966567,
        "J48.00001.ErrRate": 0.021137026239067054,
        "MaxStdDevOfNumericAtts": 5.8690467435803795,
        "MinorityClassPercentage": 44.460641399416915,
        "PercentageOfNumericFeatures": 80,
        "Quartile3MutualInformation": null,
        "CfsSubsetEval_DecisionStumpErrRate": 0.19314868804664723,
        "RandomTreeDepth2ErrRate": 0.09912536443148688,
        "J48.00001.Kappa": 0.9571796328821847,
        "MeanAttributeEntropy": null,
        "MinorityClassSize": 610,
        "PercentageOfSymbolicFeatures": 20,
        "Quartile3SkewnessOfNumericAtts": 0.7790794824458168,
        "CfsSubsetEval_DecisionStumpKappa": 0.6220644978877691,
        "RandomTreeDepth2Kappa": 0.8005251139599922,
        "J48.0001.AUC": 0.9854814767006583,
        "MeanKurtosisOfNumericAtts": 0.14479469144119225,
        "NaiveBayesAUC": 0.9396067294866831,
        "Quartile1AttributeEntropy": null,
        "Quartile1KurtosisOfNumericAtts": -0.6729889170841984,
        "Quartile3StdDevOfNumericAtts": 5.47929258026428,
        "CfsSubsetEval_NaiveBayesAUC": 0.9528828363667657,
        "RandomTreeDepth3AUC": 0.9764080719418269,
        "J48.0001.ErrRate": 0.021137026239067054,
        "MeanMeansOfNumericAtts": 0.6405147434402338,
        "NaiveBayesErrRate": 0.1588921282798834,
        "Quartile1MeansOfNumericAtts": -0.785308576530612,
        "REPTreeDepth1AUC": 0.8344961490469428,
        "CfsSubsetEval_NaiveBayesErrRate": 0.12463556851311954,
        "RandomTreeDepth3ErrRate": 0.0663265306122449,
        "J48.0001.Kappa": 0.9571796328821847,
        "MeanMutualInformation": null,
        "NaiveBayesKappa": 0.6763618735987396,
        "Quartile1MutualInformation": null,
        "REPTreeDepth1ErrRate": 0.19314868804664723,
        "CfsSubsetEval_NaiveBayesKappa": 0.7466787022320504,
        "RandomTreeDepth3Kappa": 0.8674539679304253,
        "J48.001.AUC": 0.9854814767006583,
        "MeanNoiseToSignalRatio": null,
        "NumberOfBinaryFeatures": 1,
        "Quartile1SkewnessOfNumericAtts": -0.8652081513981438,
        "REPTreeDepth1Kappa": 0.6220644978877691,
        "CfsSubsetEval_kNN1NAUC": 0.9382578202314874,
        "StdvNominalAttDistinctValues": 0,
        "J48.001.ErrRate": 0.021137026239067054,
        "MeanNominalAttDistinctValues": 2,
        "Quartile1StdDevOfNumericAtts": 2.2864504991155923,
        "REPTreeDepth2AUC": 0.9101996471752506,
        "CfsSubsetEval_kNN1NErrRate": 0.061224489795918366,
        "kNN1NAUC": 0.9986876640419947,
        "J48.001.Kappa": 0.9571796328821847,
        "MeanSkewnessOfNumericAtts": -0.1192914188861707,
        "Quartile2AttributeEntropy": null,
        "REPTreeDepth2ErrRate": 0.11443148688046648,
        "CfsSubsetEval_kNN1NKappa": 0.8763125584909549,
        "kNN1NErrRate": 0.0014577259475218659,
        "MajorityClassPercentage": 55.539358600583085,
        "MeanStdDevOfNumericAtts": 3.7807131392201496,
        "Quartile2KurtosisOfNumericAtts": 0.030142115780319223,
        "REPTreeDepth2Kappa": 0.7692363729859445,
        "ClassEntropy": 0.9911281257467461,
        "kNN1NKappa": 0.9970492846881102,
        "MajorityClassSize": 762,
        "MinAttributeEntropy": null,
        "Quartile2MeansOfNumericAtts": 0.9156811869533534,
        "REPTreeDepth3AUC": 0.9400972419431177,
        "DecisionStumpAUC": 0.8344961490469428,
        "MaxAttributeEntropy": null,
        "MinKurtosisOfNumericAtts": -0.7515813814324717,
        "Quartile2MutualInformation": null,
        "REPTreeDepth3ErrRate": 0.07434402332361516,
        "DecisionStumpErrRate": 0.19314868804664723,
        "MaxKurtosisOfNumericAtts": 1.2704759156366023,
        "MinMeansOfNumericAtts": -1.1916565211370262
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Data Analysis"
        },
        {
            "uploader": "38960",
            "tag": "Finance"
        },
        {
            "uploader": "2",
            "tag": "Kaggle"
        },
        {
            "uploader": "1",
            "tag": "OpenML-CC18"
        },
        {
            "uploader": "348",
            "tag": "OpenML100"
        },
        {
            "uploader": "38960",
            "tag": "Security"
        },
        {
            "uploader": "38960",
            "tag": "Statistics"
        },
        {
            "uploader": "3886",
            "tag": "study_123"
        },
        {
            "uploader": "5824",
            "tag": "study_135"
        },
        {
            "uploader": "64",
            "tag": "study_14"
        },
        {
            "uploader": "1",
            "tag": "study_34"
        },
        {
            "uploader": "64",
            "tag": "study_50"
        },
        {
            "uploader": "64",
            "tag": "study_52"
        },
        {
            "uploader": "64",
            "tag": "study_7"
        },
        {
            "uploader": "1935",
            "tag": "study_98"
        },
        {
            "uploader": "1",
            "tag": "study_99"
        },
        {
            "uploader": "38960",
            "tag": "Technology"
        },
        {
            "uploader": "2",
            "tag": "uci"
        }
    ],
    "features": [
        {
            "name": "Class",
            "index": "4",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "1",
                    "2"
                ],
                [
                    [
                        "762",
                        "0"
                    ],
                    [
                        "0",
                        "610"
                    ]
                ]
            ]
        },
        {
            "name": "V1",
            "index": "0",
            "type": "numeric",
            "distinct": "1338",
            "missing": "0",
            "min": "-7",
            "max": "7",
            "mean": "0",
            "stdev": "3"
        },
        {
            "name": "V2",
            "index": "1",
            "type": "numeric",
            "distinct": "1256",
            "missing": "0",
            "min": "-14",
            "max": "13",
            "mean": "2",
            "stdev": "6"
        },
        {
            "name": "V3",
            "index": "2",
            "type": "numeric",
            "distinct": "1270",
            "missing": "0",
            "min": "-5",
            "max": "18",
            "mean": "1",
            "stdev": "4"
        },
        {
            "name": "V4",
            "index": "3",
            "type": "numeric",
            "distinct": "1156",
            "missing": "0",
            "min": "-9",
            "max": "2",
            "mean": "-1",
            "stdev": "2"
        }
    ],
    "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
}