{
    "data_id": "45545",
    "name": "Tour-and-Travels-Customer-Churn-Prediction",
    "exact_name": "Tour-and-Travels-Customer-Churn-Prediction",
    "version": 1,
    "version_label": "example",
    "description": "A Tour & Travels Company Wants To Predict Whether A Customer Will Churn Or Not Based On Indicators Given Below.\n\nHelp Build Predictive Models And Save The Company's Money.\n\nPerform Fascinating EDAs.\n\nThe Data Was Used For Practice Purposes And Also During A Mini Hackathon, Its Completely Free To Use",
    "format": "arff",
    "uploader": "Matthias Feurer",
    "uploader_id": 86,
    "visibility": "public",
    "creator": null,
    "contributor": "\"tejashvi14\"",
    "date": "2023-06-02 22:26:47",
    "update_comment": null,
    "last_update": "2023-06-02 22:26:47",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/api.openml.org\/data\/download\/22116513\/dataset",
    "default_target_attribute": "Target",
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Tour-and-Travels-Customer-Churn-Prediction",
            "A Tour & Travels Company Wants To Predict Whether A Customer Will Churn Or Not Based On Indicators Given Below. Help Build Predictive Models And Save The Company's Money. Perform Fascinating EDAs. The Data Was Used For Practice Purposes And Also During A Mini Hackathon, Its Completely Free To Use "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 954,
        "NumberOfFeatures": 7,
        "NumberOfClasses": 2,
        "NumberOfMissingValues": 60,
        "NumberOfInstancesWithMissingValues": 60,
        "NumberOfNumericFeatures": 2,
        "NumberOfSymbolicFeatures": 5,
        "PercentageOfBinaryFeatures": 57.14285714285714,
        "PercentageOfInstancesWithMissingValues": 6.289308176100629,
        "AutoCorrelation": 0.5634837355718783,
        "PercentageOfMissingValues": 0.8984725965858041,
        "Dimensionality": 0.007337526205450734,
        "PercentageOfNumericFeatures": 28.57142857142857,
        "PercentageOfSymbolicFeatures": 71.42857142857143,
        "MajorityClassPercentage": 76.51991614255765,
        "MajorityClassSize": 730,
        "MinorityClassPercentage": 23.48008385744235,
        "MinorityClassSize": 224,
        "NumberOfBinaryFeatures": 4
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Chemistry"
        },
        {
            "uploader": "38960",
            "tag": "Life Science"
        }
    ],
    "features": [
        {
            "name": "Target",
            "index": "6",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "target": "1",
            "distr": [
                [
                    "0",
                    "1"
                ],
                [
                    [
                        "730",
                        "0"
                    ],
                    [
                        "0",
                        "224"
                    ]
                ]
            ]
        },
        {
            "name": "Age",
            "index": "0",
            "type": "numeric",
            "distinct": "11",
            "missing": "0",
            "min": "27",
            "max": "38",
            "mean": "32",
            "stdev": "3"
        },
        {
            "name": "FrequentFlyer",
            "index": "1",
            "type": "nominal",
            "distinct": "2",
            "missing": "60",
            "distr": [
                [
                    "No",
                    "Yes"
                ],
                [
                    [
                        "539",
                        "69"
                    ],
                    [
                        "139",
                        "147"
                    ]
                ]
            ]
        },
        {
            "name": "AnnualIncomeClass",
            "index": "2",
            "type": "nominal",
            "distinct": "3",
            "missing": "0",
            "distr": [
                [
                    "High Income",
                    "Low Income",
                    "Middle Income"
                ],
                [
                    [
                        "67",
                        "92"
                    ],
                    [
                        "282",
                        "104"
                    ],
                    [
                        "381",
                        "28"
                    ]
                ]
            ]
        },
        {
            "name": "ServicesOpted",
            "index": "3",
            "type": "numeric",
            "distinct": "6",
            "missing": "0",
            "min": "1",
            "max": "6",
            "mean": "2",
            "stdev": "2"
        },
        {
            "name": "AccountSyncedToSocialMedia",
            "index": "4",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": [
                [
                    "No",
                    "Yes"
                ],
                [
                    [
                        "469",
                        "125"
                    ],
                    [
                        "261",
                        "99"
                    ]
                ]
            ]
        },
        {
            "name": "BookedHotelOrNot",
            "index": "5",
            "type": "nominal",
            "distinct": "2",
            "missing": "0",
            "distr": [
                [
                    "No",
                    "Yes"
                ],
                [
                    [
                        "400",
                        "176"
                    ],
                    [
                        "330",
                        "48"
                    ]
                ]
            ]
        }
    ],
    "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
}