#INSTALL WEKA ON WINDOWS MAC OS X#

WEKA supports installation on Windows, Mac OS X and Linux.

#INSTALL WEKA ON WINDOWS INSTALL#

You can set this on the command line with the -cp option. Weka 4 To install WEKA on your machine, visit WEKA’s official website and download the installation file.

Using this software, you can view and analyze ARFF data files, as well as perform data clustering and regression. The weka.jar file must be on your classpath. Weka is an easy to use application, yet it is designed for those who are familiar with data mining procedures and database analysis. The program allows you to choose the significance and the comparison field, as well as the sorting criteria and the test base. The results can be saved either in ARFF or CSVformats or as a JDBC database.Īlso, you can analyze and test a data file. Also, you have to choose the desired dataset and algorithm and then you can run it. You just have to configure your experiment by choosing its type: classification or regression. The program is also suitable for developing new machine learning schemes. Downloading and installing Weka Weka 3.4 is the latest stable version of Weka, and the one described in the data mining book.

Furthermore, you can use it for data plotting, as it allows you to view and analyze point graphs for each possible attribute combination. Depending on your computing platform you may have to download and install it separately. In addition to this, the program also includes tools for data clustering, association rules and attributes evaluator. Also, you can classify the available data according to a predefined set of rules, as well as perform a complete cost / benefit analysis that automatically displays the cost matrix and the threshold curve. You can filter the data contents, change the attributes and visualize the result in a bar chart. The first section allows you to open a dataset or a database and edit it as you wish. When running the program, you can view four available applications that you can access: 'Explorer', 'Experimenter', 'KnowledgeFlow' and 'Simple CLI'. The algorithms that Weka provides can be applied directly to a dataset or your Java code.

Weka is a package that offers users a collection of learning schemes and tools that they can use for data mining. Data mining is a field that implies analyzing large data sets in order to discover new patterns and methods for database management, data processing and inference considerations.

Install weka on windows