{
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    "name": "New-Delhi-Rental-Listings",
    "exact_name": "New-Delhi-Rental-Listings",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nThe dataset is from a rental price prediction project I did. Includes different types of properties (Apartments, Independent floors, Independent houses, Villas etc.)\nIt contains 12000 rental listings from a popular real estate website. It can be used for rental prediction projects, analysis of areas of affluence etc.\nContent\nThe dataset multiple quantitative, categorical and co-ordinate features including :\n\nData about the houses : \nsizesqft, \npropertyType,\nbedrooms,\nData about the locality of the house :\nlatitude,\nlongitude,\nlocalityName,\nsuburbName,\ncityName,\nAsking Rent :\nprice,\nProperty agency :\ncompanyName,\nDistance to closest landmarks (geodesic distance, not driving-road distance)  :\nclosestmterostationkm,\nAPdistkm (Indira Gandhi International Airport),\nAiimsdistkm (All India Institute of Medical Science - major government hospital),\nNDRLWdist_km (New Delhi Railway Station), \n\nHeatmap of Data\nRed Vmax for monthly rent of Rs. 2lakh\/mo and above.",
    "format": "arff",
    "uploader": "Elif Ceren Gok",
    "uploader_id": 30125,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 15:32:57",
    "update_comment": null,
    "last_update": "2022-03-24 15:32:57",
    "licence": "CC0: Public Domain",
    "status": "active",
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    "url": "https:\/\/www.openml.org\/data\/download\/22102662\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "New-Delhi-Rental-Listings",
            "Context The dataset is from a rental price prediction project I did. Includes different types of properties (Apartments, Independent floors, Independent houses, Villas etc.) It contains 12000 rental listings from a popular real estate website. It can be used for rental prediction projects, analysis of areas of affluence etc. Content The dataset multiple quantitative, categorical and co-ordinate features including : Data about the houses : sizesqft, propertyType, bedrooms, Data about the locality "
        ],
        "weight": 5
    },
    "qualities": {
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        "NumberOfFeatures": 15,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
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        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.0008384572386808273,
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        "MajorityClassPercentage": null,
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        "MajorityClassSize": null,
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        "NumberOfBinaryFeatures": 0,
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    "tags": [
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        },
        {
            "uploader": "38960",
            "tag": "Statistics"
        }
    ],
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