Weka is a collection of machine learning algorithms for solving data mining problems in the real world. Or algorithms can be applied directly to a data set or calls from its own Java code.
The application contains the tools you need for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also suitable for developing new machine learning schemes.
Key features include:
machine learning.
Data mining.
Preprocessing.
Classification.
Regression.
The grouping.
Association rules.
Attribute selection.
Experiments.
Workflow.
Display.
collection of algorithms weka range from those that manage data preprocessing for modeling. Is core algorithms data mining include regression, clustering and classification.
Although Weka has a complete set of algorithms for data analysis, it has been built to handle data as individual flat files. Subsequently, it is not concerned with mining and sequence of multi-relational modeling.
In general, it is a good tool Weka data mining with a complete set of algorithms. The interface is well, though with four to choose from, each with their own strengths, can be difficult to choose which to work with, unless you have a thorough understanding of the application to begin with.
Looking for the Mac version of Weka? Download here
You can also Download:
Free Download Java Runtime Environment 8.0 build 102
Screenshots:
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