Performance analysis of machine learning algorithms for gender classification
Poornima Kulkarni , Preeti Phabba , Priyanka Patil , Rahul Kulkarni
Machine learning; Deep learning; SVM; Artificial Neural Networks
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.
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Unique Paper ID: 149811

Publication Volume & Issue: Volume 7, Issue 1

Page(s): 807 - 810
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Volume 7 Issue 9

Last Date 25 February 2020

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