https://github.com/shikharvashistha/svm-random-forest-naive

SVM, Random Forest and Naïve Bayes Classifier & Regression
https://github.com/shikharvashistha/svm-random-forest-naive

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SVM, Random Forest and Naïve Bayes Classifier & Regression

• Host: GitHub
• URL: https://github.com/shikharvashistha/svm-random-forest-naive
• Owner: shikharvashistha
• License: mit
• Created: 2023-09-26T04:42:30.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-04T04:44:09.000Z (over 1 year ago)
• Last Synced: 2023-10-04T16:36:46.767Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 298 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## How to run

- ``` pip install -r requirements.txt ```

- ``` python concrete.py ```

## Specification

- This code includes the classification using random forest and svm for the concrete dataset.

- This code includes the ROC curve for the random forest classifier, feature importance for the random forest classifier, and the decision boundary for the svm classifier.

## Plots

### Random Forest ROC Curve

![alt text](assets/random_forest_roc_curve.png)

### Random Forest Feature Importance

![alt text](assets/random_forest_feature_importance.png)

### SVM Decision Boundary

![alt text](assets/svc_decision_boundary.png)

### Naive Bayes ROC Curve

![alt text](assets/naive_bayes_roc_classifier_curve.png)

## Screenshot of output

![alt text](assets/hw.png)