SHAPLEY ADDITIVE EXPLANATION (SHAP) AS FEATURE SELECTION FOR ACUTE ARTERY DISEASE CLASSIFICATION MODEL DEVELOPMENT
Coronary heart disease is one of the leading causes of global mortality, making it crucial to develop accurate classification models for predicting this condition. However, datasets for coronary heart disease are often small and low-dimensional, which can increase the risk of overfitting if all f...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86189 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |