Classification: Identifying to which category an object belongs to. Regression: Predicting a continuous-valued attribute associated with an object. Clustering: Automatic grouping of similar objects into sets. Dimensionality Reduction: Reducing the number of random variables to consider. Model Selection: Comparing, validating and choosing parameters and models. Preprocessing: Feature extraction and normalization.

Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.