Comparing Random Forest and Support Vector Machines

Abstract

There are a lot of industries where AI makes decisions. They include business, finance, healthcare, and public administration. The proper use of AI systems to arrive at decisions or take actions based on data, rules, and other inputs may cause a radical change in the decision-making process. All stages, like preprocessing, analysis, decision-making, and data collection, are subsumed into AI-based decision-making. One of the main ways in which artificial intelligence (AI) algorithms can help with decision-making is through data analysis and trend forecasting, multivariate optimization, data automation, risk management, and decision personalization based on the unique tastes and behaviors of the client. Algorithms for decision-making are of great importance for all this. In this article, we will compare the most popular of these algorithms.