{ "data_id": "43723", "name": "Toronto-Apartment-Rental-Price", "exact_name": "Toronto-Apartment-Rental-Price", "version": 1, "version_label": "v1.0", "description": "Context\nI have collected the Toronto Apartment Rental prices from various sources in local websites. \nContent\nThere are 7 columns in the dataset.\nBedroom - How many bedrooms available\nBathroom - How many bathrooms available\nDen - Whether den is available or not\nAddress - Location\nLat - Lattitude\nLong - Longitude\nPrice - Apartment Rental price per month in CAD\nInspiration\nI would recommend you to collect more insights from these data and show some visual as well. Predicting the price would be great.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:34:09", "update_comment": null, "last_update": "2022-03-24 07:34:09", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102548\/dataset", "default_target_attribute": "Price", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Toronto-Apartment-Rental-Price", "Context I have collected the Toronto Apartment Rental prices from various sources in local websites. Content There are 7 columns in the dataset. Bedroom - How many bedrooms available Bathroom - How many bathrooms available Den - Whether den is available or not Address - Location Lat - Lattitude Long - Longitude Price - Apartment Rental price per month in CAD Inspiration I would recommend you to collect more insights from these data and show some visual as well. Predicting the price would be grea " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1124, "NumberOfFeatures": 7, "NumberOfClasses": 188, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.006227758007117438, "PercentageOfNumericFeatures": 71.42857142857143, "MajorityClassPercentage": 5.160142348754448, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": 58, "MinorityClassPercentage": 0.0889679715302491, "MinorityClassSize": 1, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": 1, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Price", "index": "6", "type": "string", "distinct": "188", "missing": "0", "target": "1" }, { "name": "Bedroom", "index": "0", "type": "numeric", "distinct": "3", "missing": "0", "min": "1", "max": "3", "mean": "1", "stdev": "1" }, { "name": "Bathroom", "index": "1", "type": "numeric", "distinct": "5", "missing": "0", "min": "1", "max": "3", "mean": "1", "stdev": "0" }, { "name": "Den", "index": "2", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "Address", "index": "3", "type": "string", "distinct": "653", "missing": "0" }, { "name": "Lat", "index": "4", "type": "numeric", "distinct": "573", "missing": "0", "min": "43", "max": "56", "mean": "44", "stdev": "1" }, { "name": "Long", "index": "5", "type": "numeric", "distinct": "562", "missing": "0", "min": "-114", "max": "0", "mean": "-80", "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 }