Comparing the performance of different approaches in a classification task

Abstract

The article considers various approaches to solving the classification problem, implements a neural network for classifying hotel room types, analyzes the performance of regular expressions and neural networks, plots the dependence of the classification rate of large amounts of data on the chosen algorithm, and concludes on the expediency and appropriateness of using various approaches. It is concluded that the neural network approach processes data much faster, but requires additional resources for implementation.