{ "data_id": "43566", "name": "World-Top-Chess-Players-(August-2020)", "exact_name": "World-Top-Chess-Players-(August-2020)", "version": 1, "version_label": "v1.0", "description": "Context\nThe International Chess Federation (FIDE) governs international chess competition. FIDE used Elo rating system for calculating the relative skill levels of players.\nContent\nThe dataset contains details of all the chess players in the world sorted by their Standard FIDE rating (highest to lowest) as updated by FIDE in August 2020. The data includes all active and inactive players which can be identified by the Inactive_flag column.\nNote: All ratings are updated as published by FIDE in August 2020.\nAcknowledgements\nFIDE: https:\/\/www.fide.com\/", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:52:27", "update_comment": null, "last_update": "2022-03-23 13:52:27", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102391\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "World-Top-Chess-Players-(August-2020)", "Context The International Chess Federation (FIDE) governs international chess competition. FIDE used Elo rating system for calculating the relative skill levels of players. Content The dataset contains details of all the chess players in the world sorted by their Standard FIDE rating (highest to lowest) as updated by FIDE in August 2020. The data includes all active and inactive players which can be identified by the Inactive_flag column. Note: All ratings are updated as published by FIDE in Aug " ], "weight": 5 }, "qualities": { "NumberOfInstances": 977687, "NumberOfFeatures": 10, "NumberOfClasses": null, "NumberOfMissingValues": 3994218, "NumberOfInstancesWithMissingValues": 975123, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 1.0228222324731739e-5, "PercentageOfNumericFeatures": 50, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 99.73774837959388, "AutoCorrelation": null, "PercentageOfMissingValues": 40.85374971744536 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Fide_id", "index": "0", "type": "numeric", "distinct": "977687", "missing": "0", "min": "100013", "max": "706088288", "mean": "29196212", "stdev": "80390929" }, { "name": "Name", "index": "1", "type": "string", "distinct": "951220", "missing": "0" }, { "name": "Federation", "index": "2", "type": "string", "distinct": "198", "missing": "0" }, { "name": "Gender", "index": "3", "type": "string", "distinct": "2", "missing": "0" }, { "name": "Year_of_birth", "index": "4", "type": "numeric", "distinct": "106", "missing": "34102", "min": "1077", "max": "2019", "mean": "1989", "stdev": "20" }, { "name": "Title", "index": "5", "type": "string", "distinct": "9", "missing": "958387" }, { "name": "Standard_Rating", "index": "6", "type": "numeric", "distinct": "1716", "missing": "614393", "min": "0", "max": "2863", "mean": "1651", "stdev": "370" }, { "name": "Rapid_rating", "index": "7", "type": "numeric", "distinct": "1719", "missing": "784339", "min": "1000", "max": "2881", "mean": "1588", "stdev": "341" }, { "name": "Blitz_rating", "index": "8", "type": "numeric", "distinct": "1720", "missing": "838503", "min": "1000", "max": "2900", "mean": "1660", "stdev": "342" }, { "name": "Inactive_flag", "index": "9", "type": "string", "distinct": "2", "missing": "764494" } ], "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 }