# Carnival Risk Analytics Challenge — Data

来源：https://www.kaggle.com/competitions/carnival-risk-analytics-challenge/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

- **id**: A unique identifier for each customer.

- **Age**: The customer’s age in years.

- **Gender**: Whether the customer is male, female, or other.

- **Annual Income**: The customer’s yearly income, a key financial factor.

- **Marital Status**: Single, Married, Divorced, or other categories.

- **Number of Children**: How many dependents the customer supports.

- **Education Level**: Highest degree or qualification attained.

- **Occupation**: The customer’s current profession or employment type.

- **Health Score**: A numeric measure reflecting overall health condition.

- **Location**: Urban, Suburban, or Rural area of residence.

- **Policy Type**: Category of insurance policy (e.g., Basic, Premium, Comprehensive).

- **Previous Claims**: Number of past insurance claims filed.

- **Vehicle Age**: Age of the customer’s primary vehicle, in years.

- **Credit Score**: A numeric score representing financial creditworthiness.

- **Insurance Duration**: How long the customer has held insurance, in years.

- **Policy Start Date**: When the current policy began.

- **Customer Feedback**: Textual feedback on the policy or service (e.g., Poor, Average, Good).

- **Smoking Status**: Indicates if the customer is a smoker.

- **Exercise Frequency**: How often the customer engages in physical activity.

- **Property Type**: Type of residence (e.g., House, Condo, Apartment).

- **Premium Amount**: The target variable — the actual insurance premium charged.


## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format