Performance of machine learning methods for classification tasks

Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 6

Abstract

In this paper, the performance of various machine learning methods on pattern classification and recognition tasks are proposed. The proposed method for evaluating performance will be based on the feature representation, feature selection and setting model parameters. The nature of the data, the methods of feature extraction and feature representation are discussed. The results of the Machine Learning algorithms on the classification task are analysed. The performance of Machine Learning methods on classifying Tamil word patterns, i.e., classification of noun and verbs are analysed. The software WEKA (data mining tool) is used for evaluating the performance. WEKA has several machine learning algorithms like Bayes, Trees, Lazy, Rule based classifiers.

Authors and Affiliations

B. Krithika , Dr. V. Ramalingam , K. Rajan

Keywords

Related Articles

Quantum Teleportation circuit using Matlab and Mathematica

This Paper describes a basic Quantum Teleportation circuit using mat lab Qlib tool. Teleportation is a new and exciting field of future communication. We know that security in data communication is a major concern nowada...

Multi Feature Content Based Image Retrieval

There are numbers of methods prevailing for Image Mining echniques. This Paper includes the features of four techniques I,e Color Histogram, Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image...

IMPLEMENTATION OF REPUTATION EXCHANGE PROTOCOL IN PEER-TO-PEER SYSTEM

The motivation behind basing applications on peer-to-peer architectures derives to a large extent from their ability to function, scale and self-organize in the presence of a highly transient population of nodes, network...

MLIP: A Concurrent Approach for Clipping Indexing

Multidimensional databases are beginning to be used in a wide range of applications. To meet this fast-growing demand, the R-tree family is being applied to support fast access to multidimensional data, for which the R+-...

MRI Brain Image Segmentation Algorithm Using Watershed Transform and Kernel Fuzzy C-Means Clustering on Level Set Method

A new method for image segmentation is proposed in this paper, which combines the watershed transform, KFCM and level set method. The watershed transform is first used to presegment the image so as to get the initial par...

Download PDF file
  • EP ID EP135818
  • DOI -
  • Views 125
  • Downloads 0

How To Cite

B. Krithika, Dr. V. Ramalingam, K. Rajan (2013). Performance of machine learning methods for classification tasks. International Journal on Computer Science and Engineering, 5(6), 448-454. https://europub.co.uk/articles/-A-135818