ALGORITHMIC SPLITTING: A METHOD FOR DATASET PREPARATION

Algorithmic Splitting: A Method for Dataset Preparation

The datasets that appear in publications are curated and have been split into training, testing and validation sub-datasets by domain experts.Consequently, machine learning models typically perform well on such split-by-hand prepared datasets.Whereas click here preparing real-world datasets into curated split training, testing and validation sub-da

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Seeking Mechanism Improvement of Optimum Prices for New Services in Long-Distance Trains through Use of Nonlinear-in-the-Parameter Analysis Models of Price Elasticity of Demand

There is discussed usage pattern of the nonlinear-in-the-parameter economic and mathematical models aimed at increase in efficiency of price elasticity of demand lock shock and barrel art analysis mechanism and search of optimum fees for services of railway passenger transport within the solving framework of profitability management problems.Based

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