R&D Expenditure & Firm Size: Box-Cox Transformation Analysis

In this project, I will be using a loan approval data set to predict whether a loan is approved based on applicant information. I will also compare Naive Bayes and k-NN in terms of accuracy and bias-variance behavior. I will perform a Decision Tree test as well.

生存分析是肿瘤临床研究中评估患者预后、识别风险因素的核心方法。本研究基于一份癌症患者随访数据，通过描述性统计、Kaplan‑Meier生存曲线、Cox比例风险回归模型以及时间依赖性ROC曲线，系统分析患者生存时间与临床特征（年龄、性别、癌症类型、体重）之间的关系，旨在筛选影响生存的独立预后因素，并评估模型的预测能力。