Determination of data complexity using a universal approximating model

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The properties of the training dataset in classification and regression problems are investigated. We propose a method for determining the complexity of the training data using a two-layer fully connected neural network. The number of neurons in the inner layer of the neural network is used to determine the complexity. Book of abstracts (page 68).