With the technological development and change of the times in the current era, with the rapid development of science and technology and information technology, there is a gradual replacement in the traditional way of cognition. Effective data analysis is of great help to all societies, thereby drive the development of better interests. How to expand the development of the overall information resources in the process of utilization, establish a mathematical analysis–oriented evidence theory system model, improve the effective utilization of the machine, and achieve the goal of comprehensively predicting the target behavior? The main goal of this article is to use machine learning technology; this article defines the main prediction model by python programming language, analyzes and forecasts the data of previous World Cup, and establishes the analysis and prediction model of football field by K-mean and DPC clustering algorithm. Python programming is used to implement the algorithm. The data of the previous World Cup football matches are selected, and the built model is used for the predictive analysis on the Python platform; the calculation method based on the DPC-K-means algorithm is used to determine the accuracy and probability of the variables through the calculation results, which develops results in specific competitions. Research shows how the machine wins and learns the efficiency of the production process, and the machine learning process, the reliability, and accuracy of the prediction results are improved by more than 55%, which proves that mobile algorithm technology has a high level of predictive analysis on the World Cup football stadium.

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基于机器学习和移动算法的世界杯足球赛预测模型

当今时代，随着科技的发展和时代的变迁，随着科学技术和信息技术的飞速发展，传统的认知方式正在逐渐被取代。有效的数据分析对所有社会都有很大帮助，从而推动更好的利益发展。如何在利用过程中拓展整体信息资源的开发，建立以数学分析为导向的证据理论系统模型，提高机器的有效利用率，达到综合预测目标行为的目的？本文的主要目标是使用机器学习技术；本文通过python编程语言定义了主要预测模型，对历届世界杯的数据进行了分析和预测，并通过K-mean和DPC聚类算法建立足球场的分析和预测模型。Python编程用于实现该算法。选取历届世界杯足球赛的数据，使用构建的模型在Python平台上进行预测分析；采用基于DPC-K-means算法的计算方法，通过计算结果确定变量的准确性和概率，从而在特定比赛中发展结果。研究表明机器如何取胜并学习生产过程的效率，机器学习过程中，预测结果的可靠性和准确性提高了55%以上，证明移动算法技术具有较高的预测水平。对世界杯足球场的分析。