Weka software is one of the most famous data mining software.
Weka is best known for its ease of use and numerous data mining methods. You can find more important models in this software. Each model has its own settings that the user can change to adjust its operation.
There are disadvantages to working with Weka software. One of its most important disadvantages is the immutability of the functions of this software. In other words, you can not make any changes to the execution of a data mining model, such as a neural network. You just have to give the data. Give output. If you want to change the Java code of a neural network and have a neural network according to your idea, it is impossible. But MATLAB software does not have this problem. In MATLAB, you can make any changes you want to the code.
The next drawback of Weka is that everything is done as a GUI. This means that all operations are performed with the user’s click and a window is defined for each task. So if you want to make a change in the program process, you have to do everything from the beginning with a click. But in MATLAB you can implement a large project and change a part of the function just go to the same part and apply your change and then see the result of the new changes with just one click.
One of the problems with MATLAB is the lack of all Weka functions. Weka software is more complete than MATLAB in terms of the number of models. Therefore, sometimes it is necessary for us to call one of the Weka functions in MATLAB and use it.
In this educational video, we want to teach you how to use Weka functions in MATLAB.