Train Heart Disease Detection Model #213
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I have successfully completed the task. The Random Forest Classifier was trained using the top 5 most important features, and the model achieved an accuracy of 100% on the test set. I handled missing values in the dataset and resolved the FutureWarning related to Pandas. Additionally, I have provided solutions to improve the model's performance and prevent overfitting, including cross-validation, feature engineering, and hyperparameter tuning. Let me know if there are any other tasks or improvements needed! Also the model seems to be overfitting and I need help fixing it.
nareshrajkumar866
approved these changes
May 26, 2025
nareshrajkumar866
approved these changes
May 26, 2025
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I have successfully completed the task.
Reference Issues/PRs
Fixes #211 Random Forest Classifier
What does this implement/fix? Explain your changes.
The Random Forest Classifier was trained using the top 5 most important features, and the model achieved an accuracy of 100% on the test set. I handled missing values in the dataset and resolved the FutureWarning related to Pandas.
Any other comments?
For now, the model seems to be overfitting and I need help fixing it.