摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据消息来源来自密歇根州安娜堡的BY NewsRx编辑，这项研究称，"摘要"。我们的新闻记者从密池根大学的研究中获得了一句话：“这项研究”灵感来自Kaggle比赛WSDM-kboxs音乐再嘉奖挑战.研究重点对音乐推荐模型进行了比较研究。根据要求和将来自Kaggle竞赛的给定数据集转化为分类问题，因此，我们选择了三种分类模型进行比较研究。这三个模型是K最近邻居(KNN)、随机森林和光梯度增强机(LightGBM)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news originatingfrom Ann Arbor, Michigan, b y NewsRx editors, the research stated, “Abstract.”Our news correspondents obtained a quote from the research from University of Mi chigan: “This studyis inspired by the Kaggle competition WSDM - KKBoxs Music Re commendation Challenge. The studyfocuses on doing a comparative study on music recommendation models. Based on the requirements andthe given dataset from the Kaggle competition, the problem can be transferred to a classification problem,and therefore, we chose three classification models for the comparative study. T he three models are KNearest Neighbors (KNN), Random Forest, and Light Gradient Boosting Machine (LightGBM).”
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NSTL