Using Of WEKA Tool In Machine Learning: A Review

  • Santosh Kumar Sriavastava, Dr. Yogesh Kumar Sharma, Dr. Sheo Kumar


WEKA (Waikato Condition for Information Investigation) is a broad suite of Java class libraries that acknowledge many top level PC based knowledge and information mining checks. WEKA gives executions of reenacted knowledge estimations that you can without a great deal of a stretch apply to a dataset. It moreover combines a game plan of devices for developing datasets, for example, the means discretization and taking a gander at. This paper surveys the preprocess a dataset, feed it into a learning plan, and separate the subsequent classifier and its presentation—all without framing any program code whatsoever utilizing Weka. Weka is wholeheartedly accessible on the Internet and goes with another substance on information mining and man-made insight which reports and absolutely clarifies all the figurings it contains. Applications made utilizing the Weka class libraries can be run on any PC with an Internet investigating limit; this paper considers this device and awards clients to apply computerized reasoning structures to their own information paying little mind to the PC orchestrate. Instruments are obliged pre-preparing information, enabling it into a mix of learning plans, and isolating the subsequent classifiers and their showcase. A colossal asset for exploring through Weka is its on-line documentation, which is ordinarily made from the source. The central learning systems in Weka are classifiers, and they brief a standard set or choice tree that models the information.

How to Cite
Santosh Kumar Sriavastava, Dr. Yogesh Kumar Sharma, Dr. Sheo Kumar. (2020). Using Of WEKA Tool In Machine Learning: A Review. International Journal of Advanced Science and Technology, 29(08), 4456 - 4466. Retrieved from