Weka - Attribute Selector Classifier

In weka, they have three technique to perform selected attribute which are :

native approach, using the attribute selection classes directly
using a meta-classifier
the filter approach

For this time, I will be using meta-classifier. Basically meta-classifier will use Attribute Selector Classifier, after it reduce the attribute, then the attribute reduced will be use in other method.

For example :-

You have a data set, the column in data set are :

name
age
smoking
heart rate
no. tel

After using Attribute Selector Classifier to the data, it will reduce the attribute to :

age
smoking
heart rate

So this attribute will be use in other method such as Multilayer Perceptron, Naive Bayes or any method. That's it.

Practical Session :

Open your weka, and load any data. Or you can try download data from here.

After that go to classify tab.