💡[Feature]: Increased ML Model Efficiency from 98.73 to 98.76%

mayank-0407 / Anti-Corrupto

This project leverages cutting-edge technologies like blockchain and machine learning to build trust and combat corruption in government systems. Secure Land Registry: Eliminates fraud with tamper-proof land ownership records. Automated Traffic & Challan System (using edge computing): Ensures transparency in traffic enforcement and reduces bribery.

MIT License

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Feature Description

I have improved the efficiency of ML model from 98.73% to 98.76% using the following parameter grid for hyperparameter tuning:


param_grid = {
    'poly__degree': [2],
    'poly__interaction_only': [True, False],
    'poly__include_bias': [True, False],
    'linear__fit_intercept': [True, False],
}

### Use Case

This feature would enhance the project's predictive capabilities by slightly improving the model's accuracy, making it more reliable.

### Benefits

_No response_

### Add ScreenShots

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### Priority

High

### Record

- [X] I have read the Contributing Guidelines
- [ ] I'm a GSSOC'24 contributor
- [X] I want to work on this issue

mayank-0407 / Anti-Corrupto

💡[Feature]: Increased ML Model Efficiency from 98.73 to 98.76% #36

Is there an existing issue for this?

Feature Description