Prediction of English Premier League Game
최종 수정일: 5월 15일
Anticipating result of the games empowers groups to build up their system by breaking down factors that influence in general game stream and wins and misfortunes. Numerous examinations have been directed on the expectation of the result of games through factual methods and AI strategies. Prescient execution is the most significant in a game forecast model. In any case, factual and AI models show diverse ideal execution relying upon the attributes of the information utilized for learning. In this paper, we propose another troupe model to foresee English Premier League soccer matches utilizing factual models and the AI models which showed great execution in anticipating the aftereffects of the soccer matches and this model is feasible to choose a model that performs best while foreseeing the information regardless of whether the information are unique. The proposed group model predicts game outcomes by learning the last forecast model with the game expectation aftereffects of each single model and the genuine game outcomes. Trial results for the proposed model show better than the single models.