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Sep 24 2014 - 04:45 PM
Comparison of Different Machine Learning Algorithms
This paper talked about results of comparing different machine learning techniques in classification problem. The results are interesting and somehow expected. Support Vector Machines (SVM) and Artificial Neural Networks (ANN) performed best overall. Also, feature selection is a a great factor for any algorithm. Selecting irrelevant features will have a huge impact on any of them and Linear Discriminant Analysis (LDA) suffered most. Apply some sort of filter before using features as it is very important, especially for LDA. The results are can be very helpful in choosing which ML method. And using a filter is a great idea!
|By: Xiang Liu|1753 Reads