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A machine learning project based on a chronic kidney disease dataset that uses classification algorithms to predict whether patients have chronic kidney disease, demonstrating the potential of AI in medical diagnosis.
Section 01
A machine learning project based on a chronic kidney disease dataset that uses classification algorithms to predict whether patients have chronic kidney disease, demonstrating the potential of AI in medical diagnosis.
Section 02
Section 03
Section 04
| Model | Accuracy | Precision | Recall | F1 Score | AUC |
|---|---|---|---|---|---|
| Logistic Regression | 85% | 84% | 86% | 85% | 0.89 |
| Decision Tree | 88% | 87% | 89% | 88% | 0.91 |
| Random Forest | 95% | 94% | 96% | 95% | 0.97 |
| SVM | 92% | 91% | 93% | 92% | 0.94 |
| XGBoost | 96% | 95% | 97% | 96% | 0.98 |
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