{ "data_id": "44983", "name": "miami_housing", "exact_name": "miami_housing", "version": 2, "version_label": null, "description": "**Data description**\n\nThe dataset contains information on 13,932 single-family homes sold in Miami .\nContent.\n\nThe goal is to predict the sale price.\n\n**Attribute description**\n\nThe dataset contains the following columns:\n\n * PARCELNO: unique identifier for each property. About 1% appear multiple times.\n * SALE_PRC: sale price ($)\n * LND_SQFOOT: land area (square feet)\n * TOTLVGAREA: floor area (square feet)\n * SPECFEATVAL: value of special features (e.g., swimming pools) ($)\n * RAIL_DIST: distance to the nearest rail line (an indicator of noise) (feet)\n * OCEAN_DIST: distance to the ocean (feet)\n * WATER_DIST: distance to the nearest body of water (feet)\n * CNTR_DIST: distance to the Miami central business district (feet)\n * SUBCNTR_DI: distance to the nearest subcenter (feet)\n * HWY_DIST: distance to the nearest highway (an indicator of noise) (feet)\n * age: age of the structure\n * avno60plus: dummy variable for airplane noise exceeding an acceptable level\n * structure_quality: quality of the structure\n * month_sold: sale month in 2016 (1 = jan)\n * LATITUDE\n * LONGITUDE", "format": "arff", "uploader": "Sebastian Fischer", "uploader_id": 30127, "visibility": "public", "creator": null, "contributor": null, "date": "2022-12-22 16:15:59", "update_comment": null, "last_update": "2022-12-22 16:15:59", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22111847\/file22f16556075ab.arff", "default_target_attribute": "SALE_PRC", "row_id_attribute": null, "ignore_attribute": "\"PARCELNO\"", "runs": 0, "suggest": { "input": [ "miami_housing", "The dataset contains information on 13,932 single-family homes sold in Miami . Content. The goal is to predict the sale price. The dataset contains the following columns: * PARCELNO: unique identifier for each property. About 1% appear multiple times. * SALE_PRC: sale price ($) * LND_SQFOOT: land area (square feet) * TOTLVGAREA: floor area (square feet) * SPECFEATVAL: value of special features (e.g., swimming pools) ($) * RAIL_DIST: distance to the nearest rail line (an indicator of noise) (feet " ], "weight": 5 }, "qualities": { "NumberOfInstances": 13932, "NumberOfFeatures": 16, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 16, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": -123005.68394228698, "PercentageOfMissingValues": 0, "Dimensionality": 0.0011484352569623888, "PercentageOfNumericFeatures": 100, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [ { "tag": "Machine Learning", "uploader": "38960" }, { "tag": "Medicine", "uploader": "38960" }, { "tag": "study_353", "uploader": "0" } ], "features": [ { "name": "SALE_PRC", "index": "3", "type": "numeric", "distinct": "2111", "missing": "0", "target": "1", "min": "72000", "max": "2650000", "mean": "399942", "stdev": "317215" }, { "name": "LATITUDE", "index": "0", "type": "numeric", "distinct": "13776", "missing": "0", "min": "25", "max": "26", "mean": "26", "stdev": "0" }, { "name": "LONGITUDE", "index": "1", "type": "numeric", "distinct": "13776", "missing": "0", "min": "-81", "max": "0", "mean": "-80", "stdev": "0" }, { "name": "PARCELNO", "index": "2", "type": "numeric", "distinct": "13776", "missing": "0", "ignore": "1", "min": "0", "max": "0", "mean": "0", "stdev": "0" }, { "name": "LND_SQFOOT", "index": "4", "type": "numeric", "distinct": "4696", "missing": "0", "min": "1248", "max": "57064", "mean": "8621", "stdev": "6070" }, { "name": "TOT_LVG_AREA", "index": "5", "type": "numeric", "distinct": "2978", "missing": "0", "min": "854", "max": "6287", "mean": "2058", "stdev": "814" }, { "name": "SPEC_FEAT_VAL", "index": "6", "type": "numeric", "distinct": "7583", "missing": "0", "min": "0", "max": "175020", "mean": "9562", "stdev": "13891" }, { "name": "RAIL_DIST", "index": "7", "type": "numeric", "distinct": "13235", "missing": "0", "min": "11", "max": "29622", "mean": "8349", "stdev": "6178" }, { "name": "OCEAN_DIST", "index": "8", "type": "numeric", "distinct": "13617", "missing": "0", "min": "236", "max": "75745", "mean": "31691", "stdev": "17595" }, { "name": "WATER_DIST", "index": "9", "type": "numeric", "distinct": "13218", "missing": "0", "min": "0", "max": "50400", "mean": "11960", "stdev": "11933" }, { "name": "CNTR_DIST", "index": "10", "type": "numeric", "distinct": "13682", "missing": "0", "min": "3826", "max": "159977", "mean": "68490", "stdev": "32008" }, { "name": "SUBCNTR_DI", "index": "11", "type": "numeric", "distinct": "13642", "missing": "0", "min": "1463", "max": "110554", "mean": "41115", "stdev": "22162" }, { "name": "HWY_DIST", "index": "12", "type": "numeric", "distinct": "13213", "missing": "0", "min": "90", "max": "48167", "mean": "7724", "stdev": "6069" }, { "name": "age", "index": "13", "type": "numeric", "distinct": "96", "missing": "0", "min": "0", "max": "96", "mean": "31", "stdev": "21" }, { "name": "avno60plus", "index": "14", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "month_sold", "index": "15", "type": "numeric", "distinct": "12", "missing": "0", "min": "1", "max": "12", "mean": "7", "stdev": "3" }, { "name": "structure_quality", "index": "16", "type": "numeric", "distinct": "5", "missing": "0", "min": "1", "max": "5", "mean": "4", "stdev": "1" } ], "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 }