Classification Algorithms Analysis in the Forest Fire Detection Problem

Abstract

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.