# [2025-2] data-solution-p02 — Data

来源：https://www.kaggle.com/competitions/2025-2-data-solution-p-02/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

## Dataset Description
In this competition, you will predict the probability that an auto insurance policy holder files a claim.

In the train and test data, features that belong to similar groupings are tagged as such in the feature names (e.g., ind, reg, car, calc). In addition, feature names include the postfix bin to indicate binary features and cat to indicate categorical features. Features without these designations are either continuous or ordinal. Values of -1 indicate that the feature was missing from the observation. The target columns signifies whether or not a claim was filed for that policy holder.

## File descriptions
- train.csv contains the training data, where each row corresponds to a policy holder, and the target columns signifies that a claim was filed.
- test.csv contains the test data.
- sample_submission.csv is submission file showing the correct format.