We are working with 27 out of 70 features from the original dataset.
Please, please document(comment) your code and use standard notation for all variables.
- Min-max normalization of the selected 27 features.
- Verifying the integrity of the normalized dataset.
- Write a briefing on how the stratified 10-fold cross-validation work.
- Implement this on the dataset.
- Implement the Naive Bayes classifier.
- Apply the classifier using the stratified 10-fold cross-validation scheme.
- Calculate the required metrics (ACC, PRE, REC, AUC)
- Implement the classifier with Euclidean and Manhattan distance measures.
- Optimize k in the interval [1,15] considering only odd numbers.
- Calculate the required metrics (ACC, PRE, REC, AUC)