{ "data_id": "43442", "name": "Is-this-a-good-customer", "exact_name": "Is-this-a-good-customer", "version": 1, "version_label": "v1.0", "description": "Context\nImbalanced classes put accuracy out of business. This is a surprisingly common problem in machine learning (specifically in classification), occurring in datasets with a disproportionate ratio of observations in each class.\nContent\nStandard accuracy no longer reliably measures performance, which makes model training much trickier.\nImbalanced classes appear in many domains, including:\n\nAntifraud\nAntispam\n\n\nInspiration\n5 tactics for handling imbalanced classes in machine learning:\n\nUp-sample the minority class\nDown-sample the majority class\nChange your performance metric\nPenalize algorithms (cost-sensitive training)\nUse tree-based algorithms", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:21:19", "update_comment": null, "last_update": "2022-03-23 13:21:19", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102267\/dataset", "default_target_attribute": "bad_client_target", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Is-this-a-good-customer", "Context Imbalanced classes put accuracy out of business. This is a surprisingly common problem in machine learning (specifically in classification), occurring in datasets with a disproportionate ratio of observations in each class. Content Standard accuracy no longer reliably measures performance, which makes model training much trickier. Imbalanced classes appear in many domains, including: Antifraud Antispam Inspiration 5 tactics for handling imbalanced classes in machine learning: Up-sample t " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1723, "NumberOfFeatures": 14, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 10, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.00812536273940801, "PercentageOfNumericFeatures": 71.42857142857143, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": 0.794425087108014, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "bad_client_target", "index": "13", "type": "numeric", "distinct": "2", "missing": "0", "target": "1", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "month", "index": "0", "type": "numeric", "distinct": "12", "missing": "0", "min": "1", "max": "12", "mean": "7", "stdev": "4" }, { "name": "credit_amount", "index": "1", "type": "numeric", "distinct": "205", "missing": "0", "min": "5000", "max": "301000", "mean": "29265", "stdev": "27927" }, { "name": "credit_term", "index": "2", "type": "numeric", "distinct": "22", "missing": "0", "min": "3", "max": "36", "mean": "12", "stdev": "7" }, { "name": "age", "index": "3", "type": "numeric", "distinct": "66", "missing": "0", "min": "18", "max": "90", "mean": "36", "stdev": "13" }, { "name": "sex", "index": "4", "type": "string", "distinct": "2", "missing": "0" }, { "name": "education", "index": "5", "type": "string", "distinct": "6", "missing": "0" }, { "name": "product_type", "index": "6", "type": "string", "distinct": "22", "missing": "0" }, { "name": "having_children_flg", "index": "7", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "region", "index": "8", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "2", "mean": "2", "stdev": "1" }, { "name": "income", "index": "9", "type": "numeric", "distinct": "76", "missing": "0", "min": "1000", "max": "401000", "mean": "32652", "stdev": "20913" }, { "name": "family_status", "index": "10", "type": "string", "distinct": "3", "missing": "0" }, { "name": "phone_operator", "index": "11", "type": "numeric", "distinct": "5", "missing": "0", "min": "0", "max": "4", "mean": "1", "stdev": "1" }, { "name": "is_client", "index": "12", "type": "numeric", "distinct": "2", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" } ], "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 }