• Dr. Pankaj Saxena
• Dr. A. K. Sharma
• Ahmad Tasnim Siddiqui
• Dr. Kamal Upreti

Recently, the use of machine learning has risen in popularity among younger scholars. Machine learning is the process of studying massive datasets, processing the data using machine learning techniques, and translating the results into a structure that's easier to understand. Classification has been utilised for many dataset properties in the machine learning process. There have been numerous classifiers employed in the dataset classification process, with the different datasets classified into different classes. Machine learning classification algorithms and types are presented in this paper which is expected to be used to classify datasets. The purpose of this document is to show experimental results on blood bank datasets for various machine learning classification techniques in a practical manner, utilising WEKA.

Machine Learning, Classification, WEKA, Blood Bank Dataset

"Experimental Evaluation of Machine Leaninng Classification Techniques for Blood Bank Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.211-220, May-2019, Available :http://www.jetir.org/papers/JETIR1905V88.pdf

"Experimental Evaluation of Machine Leaninng Classification Techniques for Blood Bank Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp211-220, May-2019, Available at : http://www.jetir.org/papers/JETIR1905V88.pdf