# SVM Ticket Agent Classifier

This model classifies support tickets to either DATA AGENT or USER ACCESS AGENT based on the ticket text.

## Model Details
- Model Type: Support Vector Machine (SVM)
- Feature Extraction: TF-IDF Vectorizer
- Training Size: 40 samples
- Classes: ['DATA AGENT', 'No decision', 'USER ACCESS AGENT']

## Usage
```python
from joblib import load

# Load model components
pipeline = load('pipeline.joblib')
label_encoder = load('label_encoder.joblib')

# Make prediction
text = "I need access to the sales dashboard"
agent_encoded = pipeline.predict([text])[0]
agent = label_encoder.inverse_transform([agent_encoded])[0]
```