Weka

Powerful Machine Learning Tool for Learning and Experimentation I’ve used Weka mainly for experimenting with machine learning models and exploring datasets, and it’s especially useful in educational and research settings. The biggest advantage is having so many algorithms available in one place — classification, clustering, regression, and more — without needing to write a lot of code. The visual tools make it easy to test different models, adjust parameters, and quickly see results, which is great when you’re learning or comparing approaches. That said, the interface does feel a bit old-school, and performance can slow down when working with larger datasets. Weka works best as a learning and prototyping tool, not something you’d rely on for large-scale or real-time applications. Still, for understanding machine learning concepts and running controlled experiments, it does the job very well. Overall, Weka is a strong academic and experimentation tool, earning 4 out of 5.

Very Professional

no hablo espanol I don't speak english either

good

excellent tool. Sir, In earlier version we had artificial immune algorithms AIRS algorithms and Immunos algorithms and neural network algorithms , with Welaclassalgo do we have same algorithms in 3.8.4 version.