Insurance Claim Prediction using Logistic Regression

Project Overview

This project predicts insurance claims using Logistic Regression. The model is trained on an insurance dataset and evaluates the likelihood of a claim based on customer features.

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Google Colab

Project Steps

1. Problem Statement
2. Data Preprocessing
3. Model Building
4. Model Evaluation

Model Used

Logistic Regression

Evaluation Metrics

• Accuracy Score
• Confusion Matrix
• Classification Report

Dataset

Insurance Dataset (.csv)

Author

Ayushman Pathak