Open Dataset
Data Structure ?
58.85M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
金融機関は自動車ローンの債務不履行により多大な損失を被っています。これにより、自動車ローンの審査基準が厳格化され、自動車ローンの拒否率が上昇しています。これらの機関からは、より優れた信用リスクスコアリングモデルの必要性も提起されています。このため、自動車ローンの債務不履行の決定要因を推定する研究が必要となります。ある金融機関は、ローン借入者が自動車ローンの最初の月々均等返済(EMI)の期日に債務不履行になる確率を正確に予測するためにあなたを雇いました。データセットには、ローンおよび借入者に関する以下の情報が提供されています。
借入者情報(年齢、身分証明書などの人口統計データ)
ローン情報(支払い詳細、融資価値比率など)
信用情報機関のデータと履歴(信用情報機関のスコア、有効口座の数、他のローンの状況、信用履歴など)
これを行うことで、返済能力のある顧客が拒否されることがなく、債務不履行率を最小限に抑えるためにさらに利用できる重要な決定要因を特定することができます。
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.