Digital Asset Valuation Method for Online Games Based on Machine Learning Algorithms

Data has become a key production factor in the era of the digital economy, and promoting data assetization is a need for market development. With the rapid development of the mobile game market in recent years, the demand for game account transactions has increased. A reasonable valuation and pricing for the game account can facilitate the transaction between buyers and sellers on the one hand and save the time of price gaming between the two sides. Therefore, this paper takes an online game account as the research object. Proposes a machine learning algorithm-based online game account valuation scheme. The experiments show that the most critical evaluation indicator of the model, the decision coefficient reaches 0.8811, which can meet the requirements of an actual valuation scenario.