Hello everyone,
I just started using weka. I have read and watched multiple tutorials that explain how to use weka for classification. But now I am not sure if weka is the right tool for my problem.
The dataset that I have contains 10 networks. Each network is being descried by a number of attributes. Then I have to classify my 10 networks to three classes A, B, and C according to four different tests.
For example, according to their sizes, my networks will be classified into A, B ,C. Then
according to another criteria, my networks will be classified again to A, B, C. And so on for four times
Obviously, each network will appear in a different class each time. And here where I needed to use weka.
Does weka classification support this? Because all what I have seen so far is to use one classification attribute.
Any help will be greatly appreciated.
Thank you.
I just started using weka. I have read and watched multiple tutorials that explain how to use weka for classification. But now I am not sure if weka is the right tool for my problem.
The dataset that I have contains 10 networks. Each network is being descried by a number of attributes. Then I have to classify my 10 networks to three classes A, B, and C according to four different tests.
For example, according to their sizes, my networks will be classified into A, B ,C. Then
according to another criteria, my networks will be classified again to A, B, C. And so on for four times
Obviously, each network will appear in a different class each time. And here where I needed to use weka.
Does weka classification support this? Because all what I have seen so far is to use one classification attribute.
Any help will be greatly appreciated.
Thank you.