Classification of Leaf Type Using Multilayer Perceptron, Naive Bayes and Support Vector Machine Classifiers

Abstract

Multiclass classification has always been challenging in the area of machine learning algorithms. Different publicly available software applications offer various learning algorithms’ implementations. This paper uses leaf dataset with 30 different plant species with simple leaf types prepared by Silva et al (2014), and classification is performed using Multilayer Perceptron, Naive Bayes and Support Vector Machine classifiers. Performance of classifiers is compared based on time needed for building the model and classification accuracy.