README.md

# Flask Classification Model

This is a classification model trained with scikit-learn. The model predicts binary classes based on four input features.

## How to Use

1. Clone the repository.
2. Install necessary libraries.
3. Run `inference.py` with your input features.

Example:

```python

import joblib

import numpy as np



# Load model and scaler

model = joblib.load("classification_model.joblib")

scaler = joblib.load("scaler.pkl")



# Make a prediction

input_features = [0.5, 1.2, -0.3, 2.0]

scaled_features = scaler.transform(np.array(input_features).reshape(1, -1))

prediction = model.predict(scaled_features)

print(prediction)