The Study and Analysis of Classification ...

The study of evolution in the animal world is immensely diverse. Evolution of animals can be categorized using data mining tools such as Weka. It is one of the freely available tools which provide a single platform to combine classification, clustering, association, validation and visualization. Classification is the arrangement of objects, ideas, or information into groups, the members of which have one or more characteristics in common. Classification makes things easier to find, identify, and study. Taking diversity into account the number of species is classified using the attributes in weka. The animal kingdom is categorized as vertebrates and invertebrates. In this paper animal kingdom data set is developed by collecting data from A to Z vertebrate’s animal kingdom repository. Data set consists of 51 instances with 6 attributes. The considered attributes are name, weight, size, lifespan, origin, and group. The dataset is trained and tested using remove percentage filter. Partitioned data set are evaluated individually using weka algorithms and the results are compared using error rate and accuracy rate. The results are compared and verified using Knowledge flow environment.