我们在开发三个不同的模型时使用了朴素贝叶斯分类器，每个模型应用于不同的数据集：一个与药物数据相关，另一个涉及癌症患者信息，第三个处理垃圾邮件帽分类。对于相应的数据集，实现的准确率为94%、90%和98%
We employed Naive Bayes Classifiers in the development of three distinct models, each applied to different datasets: one related to drug data, another involving cancer patient information, and a third dealing with spam hat classification. The achieved accuracy rates were 94%, 90%, and 98% for the respective datasets (2024-02-19, Jupyter Notebook, 0KB, 下载0次)