gcc-insurance-ml-models/customer-churn-training

Customer Churn Training Dataset

Dataset Description

This dataset contains training data for the customer-churn-predictor model, designed to predict customer churn in insurance.

Dataset Summary

The Customer Churn Training Dataset is a collection of customer behavioral and demographic data used to train models that predict which customers are likely to cancel their insurance policies.

Supported Tasks

• Tabular Classification: Predict customer churn probability
• Risk Assessment: Identify at-risk customers for retention campaigns

Languages

• English (en)

Dataset Structure

Data Fields

• customer_id: Unique customer identifier
• tenure: Length of customer relationship in months
• policy_type: Type of insurance policy
• premium_amount: Monthly premium amount
• claims_history: Number of claims filed
• churn: Target variable (0 = retained, 1 = churned)

Usage

from datasets import load_dataset

dataset = load_dataset("gcc-insurance-ml-models/customer-churn-training")

License

Apache 2.0