{ "data_id": "43998", "name": "diamonds", "exact_name": "diamonds", "version": 2, "version_label": null, "description": "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: \n \nThis classic dataset contains the prices and other attributes of almost 54,000 diamonds. It's a great dataset for beginners learning to work with data analysis and visualization.\n\nContent\nprice price in US dollars (\\$326--\\$18,823)\n\ncarat weight of the diamond (0.2--5.01)\n\ncut quality of the cut (Fair, Good, Very Good, Premium, Ideal)\n\ncolor diamond colour, from J (worst) to D (best)\n\nclarity a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))\n\nx length in mm (0--10.74)\n\ny width in mm (0--58.9)\n\nz depth in mm (0--31.8)\n\ndepth total depth percentage = z \/ mean(x, y) = 2 * z \/ (x + y) (43--79)\n\ntable width of top of diamond relative to widest point (43--95)", "format": "arff", "uploader": "Leo Grin", "uploader_id": 26324, "visibility": "public", "creator": null, "contributor": "\"Leo Grin\"", "date": "2022-06-16 20:51:29", "update_comment": null, "last_update": "2022-06-16 20:51:29", "licence": "public domain", "status": "active", "error_message": null, "url": "https:\/\/old.openml.org\/data\/download\/22103086\/dataset", "default_target_attribute": "price", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "diamonds", "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: This classic dataset contains the prices and other attributes of almost 54,000 diamonds. It's a great dataset for beginners learning to work with data analysis and visualization. Content price price in US dollars (\\$326--\\$18,823) carat weight of the diamond (0.2--5.01) cut quality " ], "weight": 5 }, "qualities": { "NumberOfInstances": 53940, "NumberOfFeatures": 7, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 4, "NumberOfSymbolicFeatures": 3, "Dimensionality": 0.00012977382276603634, "PercentageOfNumericFeatures": 57.14285714285714, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 42.857142857142854, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": 0.9897643952458033, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" }, { "uploader": "38960", "tag": "Statistics" } ], "features": [ { "name": "price", "index": "6", "type": "numeric", "distinct": "11602", "missing": "0", "target": "1", "min": "6", "max": "10", "mean": "8", "stdev": "1" }, { "name": "carat", "index": "0", "type": "numeric", "distinct": "273", "missing": "0", "min": "0", "max": "5", "mean": "1", "stdev": "0" }, { "name": "depth", "index": "1", "type": "nominal", "distinct": "184", "missing": "0", "distr": [] }, { "name": "table", "index": "2", "type": "nominal", "distinct": "127", "missing": "0", "distr": [] }, { "name": "x", "index": "3", "type": "nominal", "distinct": "554", "missing": "0", "distr": [] }, { "name": "y", "index": "4", "type": "numeric", "distinct": "552", "missing": "0", "min": "0", "max": "59", "mean": "6", "stdev": "1" }, { "name": "z", "index": "5", "type": "numeric", "distinct": "375", "missing": "0", "min": "0", "max": "32", "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 }