Binary Classifier Inspired by Quantum Theory

Abstract

ML helps us to recognize patterns from raw data. ML is used in numerous domains i.e. biomedical, agricultural, food technology, etc. Despite recent technological advancements, there is still room for substantial improvement in prediction. Current ML models are based on classical theories of probability and statistics, which can now be replaced by QT with the aim of improving the effectiveness of ML. In this paper, we propose the BCIQT model, which outperforms the state of the art classification in terms of recall for every category.

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Reproductions