Performance analysis of machine learning algorithms for gender classification

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Performance analysis of machine learning algorithms for gender classification
Author(s):
Poornima Kulkarni , Preeti Phabba , Priyanka Patil , Rahul Kulkarni
Keywords:
Machine learning; Deep learning; SVM; Artificial Neural Networks
Abstract
We have various machine algorithms for gender classification but choosing best one is important task. For selecting best algorithm we conducted experimental study on machine learning algorithms for gender classification. In this experimental study of machine learning algorithms, we analyzed performance of various algorithms for gender classification using voice dataset. From this study we concluded that SVM and ANN are giving best results. After tuning parameters ANN outperforms SVM giving accuracy 99.87% on test data.
Article Details
Unique Paper ID: 149811 Publication Volume & Issue: Volume 7, Issue 1 Page(s): 807 - 810
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