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README.md

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----
-title: UFC Fight Predictor
-emoji: 🥊
-colorFrom: blue
-colorTo: indigo
-sdk: gradio
-sdk_version: 4.19.2
-app_file: app.py
-pinned: false
-license: mit
----
-
-# UFC Fight Predictor
-
-A machine learning application that predicts UFC fight outcomes based on fighter statistics.
-
-## Model Performance
-
-- **Accuracy**: 98.9%
-- **Best Algorithm**: Logistic Regression
-- **Dataset**: 7,417 UFC fights
-- **Features**: 25 statistical indicators
-
-## Features Analyzed
-
-- Knockdown differences between fighters
-- Significant strike statistics  
-- Takedown attempts and success rates
-- Submission attempts
-- Striking accuracy
-- Weight class
-- Fight round
-- Method of victory encoding
-
-## How to Use
-
-1. **Enter fighter statistics** for both competitors
-2. **Select weight class** from dropdown
-3. **Adjust method parameter** (0-10 scale)
-4. **Click Submit** to get prediction
-
-## Output Information
-
-The model returns:
-- Predicted winner
-- Confidence percentage
-- Individual probabilities for each fighter
-- Detailed analysis
-
-## Technical Details
-
-Built with:
-- Scikit-learn for machine learning
-- Gradio for web interface
-- Pandas for data processing
-- NumPy for numerical operations
-
-## Model Validation
-
-The model was validated using:
-- Train/test split (80/20)
-- Multiple algorithm comparison
-- Cross-validation techniques
-- Comprehensive metrics (Accuracy, AUC, F1-Score)
-
-*For educational and demonstration purposes.*