First Step: Select one of the Weka Demo Dataset with the following properties:

The dataset must have more than $4$ attributes and less than $10$ attributes. At least one attribute

must be categorical attribute. If the downloaded original dataset has more than $10$ attributes then

eliminate some of them.

The number of classes of the dataset must be exactly two with balanced number of instances. The

number of instances must be between $100$ and $200.$ If there exists more than two classes eliminate

them.

Second Step: Apply PCA dimensional reduction algorithm. Present your result.

Third Step: Apply one of classification algorithms implemented in Weka using $10-$fold cross$-$validation

technique. Present your result. Show classification accuracy, sensitivity and specificity.

Download link

Downloading and installing Weka $-$ Weka Wiki $($

waikato.github.io$)$