Project Structure

|-- README.md
|-- app.py
|-- train_model.py
|-- predict_model.py
|-- model/
|   |-- insurance_claim_prediction_model.joblib
|-- dataset/
|   |-- insurance2.csv
|-- requirements.txt

Insurance Claim Prediction App

This project implements a Streamlit web application for predicting whether an individual is likely to make an insurance claim based on various input parameters. The prediction model is trained using a decision tree classifier.

Project Structure

app.py: Streamlit web application code for user interface.
train_model.py: Python script for training the machine learning model and saving it.
predict_model.py: Python script for loading the trained model and making predictions.
model/insurance_claim_prediction_model.joblib: Saved trained model using joblib.
dataset/insurance2.csv: Dataset used for training and testing the model.
requirements.txt: List of Python dependencies required to run the application.

Getting Started

Prerequisites

Ensure you have Python installed. You can install it from python.org.

Installation

pip install -r requirements.txt

Running the App

To run the Streamlit app, execute the following command:

streamlit run app.py

This will start a local server and open your default web browser to the app.

Usage

User Input Parameters: Adjust the sliders and dropdowns in the sidebar to input different values for age, sex, BMI, children, smoker status, region, and medical charges. Predict Button: Click on the "Predict" button in the sidebar to see whether the individual is likely to make an insurance claim. Analysis Dashboard: View average medical charges for claims made and not made based on demo data.

Examples

Example 1: Predicting Insurance Claim Likelihood

Suppose a 40-year-old male with a BMI of 25.3, 2 children, non-smoker from the southeast region, and medical charges of $2900.0 wants to predict the likelihood of making an insurance claim. After inputting these details and clicking "Predict," the app predicts whether this individual is likely to make an insurance claim.

Dependencies

Python 3.x
pandas
joblib
scikit-learn
streamlit