A Comparative Analysis of Classification Algorithms on Diverse Datasets

Journal Title: Engineering, Technology & Applied Science Research - Year 2018, Vol 8, Issue 2

Abstract

Data mining involves the computational process to find patterns from large data sets. Classification, one of the main domains of data mining, involves known structure generalizing to apply to a new dataset and predict its class. There are various classification algorithms being used to classify various data sets. They are based on different methods such as probability, decision tree, neural network, nearest neighbor, boolean and fuzzy logic, kernel-based etc. In this paper, we apply three diverse classification algorithms on ten datasets. The datasets have been selected based on their size and/or number and nature of attributes. Results have been discussed using some performance evaluation measures like precision, accuracy, F-measure, Kappa statistics, mean absolute error, relative absolute error, ROC Area etc. Comparative analysis has been carried out using the performance evaluation measures of accuracy, precision, and F-measure. We specify features and limitations of the classification algorithms for the diverse nature datasets.

Authors and Affiliations

M. Alghobiri

Keywords

Related Articles

Improving Power System Stability Using Transfer Function: A Comparative Analysis

In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the...

A New Learning Control System for Basketball Free Throws Based on Real Time Video Image Processing and Biofeedback

Shooting free throws plays an important role in basketball. The major problem in performing a correct free throw seems to be inappropriate training. Training is performed offline and it is often not that persistent. The...

Optimal Power Factor for the Reactive Load of Small Hydro Power Plants

This article explores the operation algorithm of an excitation regulator of synchronous generators of small Hydro Power Plants (HPPs). The aim is to provide optimum economic parameters, consistent with the dynamically ch...

Energy Conversion Loops for Flux-Switching PM Machine Analysis

Induction and synchronous machines have traditionally been the first choice of automotive manufacturers for electric/hybrid vehicles. However, these conventional machines are not able anymore to meet the increasing deman...

A Behavioral Maturity Model to Establish Knowledge Management in an Organization

Modern organizations need intangible assets such as organizational knowledge and human resources to gain competitive advantage in the market. Organizations can provide opportunities for behavioral maturity of managers to...

Download PDF file
  • EP ID EP168419
  • DOI -
  • Views 253
  • Downloads 0

How To Cite

M. Alghobiri (2018). A Comparative Analysis of Classification Algorithms on Diverse Datasets. Engineering, Technology & Applied Science Research, 8(2), -. https://europub.co.uk/articles/-A-168419