识别影响产品众筹项目能否成功的关键因素，获得评估项目能否成功的有效预测模型，对于提高众筹项目成功率、降低投资者风险具有重要意义。本案例基于京东众筹平台上9698个产品众筹项目的数据集，使用CART、XGBoost、随机森林和LCE四个模型，探究产品众筹项目能否成功与14个属性变量间的关系，训练最优的预测模型。结果表明，项目的支持人数、各档位最大金额和目标金额是影响项目成功与否的重要因素，XGBoost模型具有最高的预测准确性，该模型为评估未来的产品众筹项目提供了模型支持。
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