https://github.com/mehrab-kalantari/vehicle-claim-fraud-detection

Vehicle insurance claim fraud detection dataset analysis and modeling
https://github.com/mehrab-kalantari/vehicle-claim-fraud-detection

classification data-preprocessing data-understanding imbalanced-classification imbalanced-data machine-learning supervised-learning

Last synced: 3 months ago
JSON representation

Vehicle insurance claim fraud detection dataset analysis and modeling

• Host: GitHub
• URL: https://github.com/mehrab-kalantari/vehicle-claim-fraud-detection
• Owner: Mehrab-Kalantari
• Created: 2023-07-26T17:43:46.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-26T17:51:38.000Z (almost 2 years ago)
• Last Synced: 2025-01-16T09:42:01.874Z (4 months ago)
• Topics: classification, data-preprocessing, data-understanding, imbalanced-classification, imbalanced-data, machine-learning, supervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 1.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Vehicle Insurance Claim Fraud Detection

[Dataset on kaggle](https://www.kaggle.com/datasets/shivamb/vehicle-claim-fraud-detection)

## Contents

### Data understanding and EDA

* Histogram

* Pie chart

* Bar chart

* Data queries

### Data preprocessing 

* Missing values

* Feature scaling

* Encoding

### Imbalanced data handling

* Oversampling

* Undersampling

* Class weight

### Modeling (Classification)

* Logistic regression

* KNN

* Decision tree

* Random forest

* SVM

### Evaluation

* Classification report

* Confusion matrix