{ "data_id": "44229", "name": "Churn_Telco_Europa", "exact_name": "Churn_Telco_Europa", "version": 2, "version_label": "test", "description": "Churn happens when customers are leaving their current service provider and moving to another one. This is a big business problem because it is more expensive to acquire a new customer than to keep an existing one from leaving. This explains this challenge, which is one of the pre-qualification to the 2018 Data Science Nigeria all-expense paid bootcam\/hackathon scheduled to hold 10-15 October, 2018. Read up, fine your model, build incremental statistical thinking and reinforce your Data Science career growth. An academic data has been used here to help participants classify potential customers who might churn. Please note that a balanced dataset has been used", "format": "arff", "uploader": "louis geiler", "uploader_id": 30294, "visibility": "public", "creator": "\"UNK\"", "contributor": null, "date": "2022-10-05 19:21:13", "update_comment": null, "last_update": "2022-10-05 19:21:13", "licence": "Unknown", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22106814\/dataset", "kaggle_url": null, "default_target_attribute": "churn_status", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Churn_Telco_Europa", "Churn happens when customers are leaving their current service provider and moving to another one. This is a big business problem because it is more expensive to acquire a new customer than to keep an existing one from leaving. This explains this challenge, which is one of the pre-qualification to the 2018 Data Science Nigeria all-expense paid bootcam\/hackathon scheduled to hold 10-15 October, 2018. Read up, fine your model, build incremental statistical thinking and reinforce your Data Science " ], "weight": 5 }, "qualities": [], "tags": [], "features": [ { "name": "churn_status", "index": "15", "type": "numeric", "distinct": "2", "missing": "1", "target": "1", "min": "0", "max": "1", "mean": "1", "stdev": "1" }, { "name": "customer_id", "index": "0", "type": "string", "distinct": "1400", "missing": "1" }, { "name": "network_age", "index": "1", "type": "numeric", "distinct": "1038", "missing": "1", "min": "-5", "max": "5451", "mean": "1451", "stdev": "1276" }, { "name": "customer_tenure_in_month", "index": "2", "type": "numeric", "distinct": "1038", "missing": "1", "min": "0", "max": "182", "mean": "48", "stdev": "43" }, { "name": "total_spend_in_months_1_and_2_of_2017", "index": "3", "type": "numeric", "distinct": "1387", "missing": "1", "min": "5", "max": "24439", "mean": "806", "stdev": "1252" }, { "name": "total_sms_spend", "index": "4", "type": "numeric", "distinct": "712", "missing": "1", "min": "0", "max": "874", "mean": "30", "stdev": "61" }, { "name": "total_data_spend", "index": "5", "type": "numeric", "distinct": "241", "missing": "1", "min": "0", "max": "8295", "mean": "58", "stdev": "290" }, { "name": "total_data_consumption", "index": "6", "type": "numeric", "distinct": "1394", "missing": "1", "min": "0", "max": "99456402", "mean": "2162307", "stdev": "6865958" }, { "name": "total_unique_calls", "index": "7", "type": "numeric", "distinct": "503", "missing": "1", "min": "1", "max": "2596", "mean": "202", "stdev": "302" }, { "name": "total_onnet_spend_", "index": "8", "type": "numeric", "distinct": "851", "missing": "1", "min": "0", "max": "381174", "mean": "6814", "stdev": "16708" }, { "name": "total_offnet_spend", "index": "9", "type": "numeric", "distinct": "1126", "missing": "1", "min": "0", "max": "431440", "mean": "15730", "stdev": "37449" }, { "name": "total_call_centre_complaint_calls", "index": "10", "type": "numeric", "distinct": "19", "missing": "1", "min": "1", "max": "49", "mean": "2", "stdev": "2" }, { "name": "network_type_subscription_in_month_1", "index": "11", "type": "string", "distinct": "3", "missing": "176" }, { "name": "network_type_subscription_in_month_2", "index": "12", "type": "string", "distinct": "3", "missing": "145" }, { "name": "most_loved_competitor_network_in_in_month_1", "index": "13", "type": "string", "distinct": "7", "missing": "2" }, { "name": "most_loved_competitor_network_in_in_month_2", "index": "14", "type": "string", "distinct": "6", "missing": "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 }