BIO Web Conf.
Volume 84, 2024International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2023)
|Number of page(s)
|05 January 2024
Using machine learning algorithms to solve data classification problems using multi-attribute dataset
1 Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia
2 Department of Information Economic Systems, Institute of Engineering and Economics, Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
* Corresponding author: email@example.com
This paper discusses various machine learning techniques such as decision trees, Kohonen maps neural network method, and correlation analysis. The training of neural networks and further comparative analysis was carried out using a real estate price segment classification dataset. The overall quality of the data collected in the dataset was evaluated using the correlation analysis method, while the other methods were used to predict the target variable. The obtained data were summarized in a comparative table. As a result of the work done, a relatively high accuracy was obtained using a large number of parameters in the work of almost all methods, the only exception is the neural network method, which does not work very correctly in the selected software product
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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