Experimental analysis of traditional classification algorithms on bio medical dtatasets

Data classification in medical field is distinct from that in other fields, because the medical data are heterogeneous, skewed and complex in nature and medical data classification involves multi class classification. In this paper we present the experimental analysis of well-known traditional classification algorithms on bio-medical datasets in order to observe their performance. This experimental analysis will provide deeper insight in designing the efficient classification algorithm for bio medical data.