Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
Abstract: In this paper a novel approach for automatically configuring a k-nearest neighbors regressor for univariate time series forecasting is presented. The approach uses an ensemble consisting of ...
A package for randomness based research. Bionomial Uniform integer on the given range Uniform float on the given range Normal distribution (Gaussian) Random sampling from a set, choice. We would be ...
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