{ "data_id": "43308", "name": "Fish-market", "exact_name": "Fish-market", "version": 1, "version_label": "v1.0", "description": "Content\nThis dataset is a record of 7 common different fish species in fish market sales. With this dataset, a predictive model can be performed using machine friendly data and estimate the weight of fish can be predicted.\n\nAcknowledgements\nThanks to all who make Kernels using this dataset and also people viewed or download this data.\n\nInspiration\nMultiple linear regression is a fundamental practice for this dataset. Multivariate analysis can also be performed.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 09:33:32", "update_comment": null, "last_update": "2022-03-23 09:33:32", "licence": "GPL 2", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102133\/dataset", "kaggle_url": null, "default_target_attribute": "Weight", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Fish-market", "Content This dataset is a record of 7 common different fish species in fish market sales. With this dataset, a predictive model can be performed using machine friendly data and estimate the weight of fish can be predicted. Acknowledgements Thanks to all who make Kernels using this dataset and also people viewed or download this data. Inspiration Multiple linear regression is a fundamental practice for this dataset. Multivariate analysis can also be performed. " ], "weight": 5 }, "qualities": { "NumberOfInstances": 159, "NumberOfFeatures": 7, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": -83.70063291139242, "PercentageOfNumericFeatures": 85.71428571428571, "Dimensionality": 0.0440251572327044, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [], "features": [ { "name": "Weight", "index": "1", "type": "numeric", "distinct": "101", "missing": "0", "target": "1", "min": "0", "max": "1650", "mean": "398", "stdev": "358" }, { "name": "Species", "index": "0", "type": "string", "distinct": "7", "missing": "0" }, { "name": "Length1", "index": "2", "type": "numeric", "distinct": "116", "missing": "0", "min": "8", "max": "59", "mean": "26", "stdev": "10" }, { "name": "Length2", "index": "3", "type": "numeric", "distinct": "93", "missing": "0", "min": "8", "max": "63", "mean": "28", "stdev": "11" }, { "name": "Length3", "index": "4", "type": "numeric", "distinct": "124", "missing": "0", "min": "9", "max": "68", "mean": "31", "stdev": "12" }, { "name": "Height", "index": "5", "type": "numeric", "distinct": "154", "missing": "0", "min": "2", "max": "19", "mean": "9", "stdev": "4" }, { "name": "Width", "index": "6", "type": "numeric", "distinct": "152", "missing": "0", "min": "1", "max": "8", "mean": "4", "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 }