Classification Algorithms Analysis in the Forest Fire Detection Problem
Mikhail D. Molovtsev, Синева Ирина Сергеевна · 2019
The development of information technology allows applying complex mathematical algorithms. For example, machine learning (ML) procedures are used in almost all humans life areas: smart home systems, online recommendation systems intelligent chatbots and so on. This creates a huge demand for specialists in data analysis and ML. Modern data analysis packages often do not require deep knowledge from a specialist, which allows to apply all ML algorithms without a deep understanding of their work. However, the main problem is that the data is not suitable for the algorithm and as a result, the algorithm cannot detect all the patterns or does it incorrectly. This situation can be acceptable in pet projects and is completely unacceptable in cases where the algorithm error costs a lot of money or human lives. In this paper the analysis of ML algorithms and the possibility of their application to forest fires data are done.