{"id":21546491,"url":"https://github.com/gui-sitton/beta-bank","last_synced_at":"2026-05-18T03:01:34.570Z","repository":{"id":190246521,"uuid":"682241737","full_name":"Gui-Sitton/Beta-Bank","owner":"Gui-Sitton","description":" The bankers have discovered that it's cheaper to save existing customers than to attract new ones. We need to predict whether a customer will leave the bank soon. 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The bankers have discovered that it's cheaper to save existing customers than to attract new ones.\nWe need to predict whether a customer will leave the bank soon. You have data on past customer behavior and contract terminations with the bank.\nBuild a model with the maximum possible F1 value. To pass the review, you need an F1 value of at least 0.59 for the test data set.\nAlso, measure the AUC-ROC metric and compare it with the F1 value.\n\n**Features**\n\n* RowNumber - data string index\n\n* CustomerId - unique customer identifier\n\n* Surname - last name\n\n* CreditScore \n\n* Geography - country of residence\n\n* Gender \n\n* Age \n\n* Tenure - length of service for the customer\n\n* Balance - account balance\n\n* NumOfProducts - number of banking products used by the customer\n\n* HasCrCard - client has a credit card (1 - yes; 0 - no)\n\n* IsActiveMember - active customer (1 - yes; 0 - no)\n\n* EstimatedSalary - estimated salary\n\n**Objective**\n\n* Exited - customer left (1 - yes; 0 - no)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgui-sitton%2Fbeta-bank","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgui-sitton%2Fbeta-bank","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgui-sitton%2Fbeta-bank/lists"}