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Performance Evaluation Metrics for Software Fault Prediction Studies
(Budapest Tech, Becsi Ut 96-B, Budapest, H-1034, Hungary, 2012)
Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with ...
Comparison of Face Recognition Algorithms
(IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...
Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting
(2019-01)
— Predicting the sales amount as close as to the actual
sales amount can provide many benefits to companies. Since the
fashion industry is not easily predictable, it is not
straightforward to make an accurate prediction ...
Performance tuning for machine learning-based software development effort prediction models
(2019)
Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...