Global Economic Market Forecast and Decision System for IoT and Machine Learning

The fast growth of IoT in wearable devices, smart sensors, and home appliances will affect every aspect our lives. With the rapid development economic globalization, how to integrate science technology into decision-making is focus current research field, this paper precisely solve problem. This proposes a global market forecasting system based on Internet Things machine learning. Using wireless sensor network perceive predict market, through decision tree method learning, combine make decisions, explores algorithm with highest execution efficiency experimental comparison four algorithms: ID3 algorithm, C4.5 CART IQ algorithm. output experiments indicates that has fastest running speed. When dataset increases 110,000, its time reaches 503 s.