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SMOTE (Synthetic minority over-sampling technique) is a commonly used over-sampling technique to subside the imbalanced dataset problem. Traditionally SMOTE has two key important parameters, one is to control the amount of over-sampling, and the other specifies the area of the nearest neighbors. These two parameters are arbitrarily chosen by user. So there are no universally best default values. In...
This paper is an experiment of data fruit plants comes from the Department of Food Crops and Horticultural Central of Aceh District and Bener Meriah District. We focused our experiment in using visualizing. The analysis contained in this paper have used AdaBoost.M1 to build the model classification and Mosaics plot for visualization. Using visualization with Mosaic plot we can see and depict some...
Software Effort is defined as the person months required to make a software application. Software effort estimation is usually the most important phase in the software development life cycle. Software effort estimation requires high accuracy at early phases, but accurate estimations are difficult to achieve. Machine Learning techniques are widely exploited that assist in getting improved evaluated...
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