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+dashboard/:
+Contains all the Streamlit app components (app.py, overview.py, filtered.py, model_result.py, prediction.py) for building the interactive dashboard.
+
+alzheimers_disease_data.csv
+The primary dataset used for analysis and training.
+
+Correlation-Accuracy_Results:
+Folder with the results from the GA,the best correlation and accuracy from each run
+
+GA2.ipynb
+Genetic Algorithm used to select features.
+
+models.ipynb
+Trains and evaluates ML models using selected features from GA.
+
+models2.ipynb
+Trains and evaluates models using all features for comparison.
+
+metrics.csv
+Contains saved metrics like accuracy from different models using the selected features
+
+preprocessing.ipynb
+Handles missing values, scaling, and other preprocessing steps.
+
+requirements.txt
+List of libraries needed to run the code.
+
+results.txt
+Contains the accuracy, correlation and features selected from each run
+
+Selected_features.csv
+The final selected features after applying genetic algorithm optimization.
+
+Tradeoff_plot.png
+Visual representation of the trade-off between accuracy and correlation results from GA.
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