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We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thresholds. Using such a model, we could theoretically and algorithmically reduce ordinal regression problems to binary classification p ...

Classification is an important problem in machine learning. It can be used in a variety of applications, such as distinguishing apples, oranges, and bananas automatically. Traditionally, the regular classification problem aims at minimizing the number of future mis-prediction errors. Nevertheless, m ...