Predictive models in Python for Explainable AI
Notebook contains to 3 different models:
2 models are constructed : Random Forest Classifier and XGBClassifier.
- Nhanes without Multivariates - In this the feature space is reduced by removing variables which can be explained by other independent variable.
- Nhanes without removing Multivariates - In this all of the features are used without treating for multivariates.
- Nhanes Healthy patients - In this all Patients with Mi, HF and Stroke are removed, for emphasis on metabolic sydrome.
- Nhanes Deep Learning Healthy patients - In this all Patients with Mi, HF and Stroke are removed, for emphasis on metabolic sydrome, using Deep Learning.