Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Data mining in metric space: an empirical analysis of supervised learning performance criteria
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
AUC: a better measure than accuracy in comparing learning algorithms
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Research for Information Extraction Based on Wrapper Model Algorithm
ICCRD '10 Proceedings of the 2010 Second International Conference on Computer Research and Development
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Feature selection methods are used to tackle the problem of the curse of the dimensionality of data to be mined. This applies also to the area of animal breeding, in which datasets collect remarkably a large number of animal features. In this paper, we have conducted a comprehensive study of both 12 classification methods as well as 12 GA-based feature selection methods for classification of the Silesian horse data. To assess the performance of the wrappers and the classification methods over the animal dataset we used two metrics: a probability metric Area under the ROC curve (AUC), and a rank metric Root Mean Square Error (RMSE). All of the classifiers and the wrappers were taken from the Weka machine learning software. We find that most of the GA-based wrappers achieved results no worse than high-dimensional dataset. The statistical results obtained make the three classifiers: a decision tree ADT, a logistic regression Log and a bagging method Bag competitive method to be considered in the field of animal breeding data mining.