machine-learning - Test cases in Weka

Question

Given that I may have an ARFF file that is written in the following form:

@relation spamOrNot
@attribute body String
@attribute result {spam, notspam}
"free money now!", spam
"hi meet me at 10", notspam

And I were to run this to train a Naive Bayes Classifier on Weka. How would I create a test-set so that this trained classifier would be able to make predictions? Thanks.

Answer 1

有许多数据存储库，您可以在其中找到垃圾邮件和非垃圾邮件示例（来自现实生活）。然后，获取垃圾邮件/非垃圾邮件的正文并制作一个类似的 arff 文件（但这次它将测试 arff 文件），并带有适当的标签（垃圾邮件正文为垃圾邮件，非垃圾邮件正文为 notspam ）。使用您的训练 arff 文件，您将获得一个分类器模型。保存该模型。然后在 Weka 资源管理器分类选项卡上，选择单选按钮“测试集”并选择您的测试集（尽管它会有标签）。然后加载您的训练模型，右键单击它，然后选择使用测试集重新评估。你完成了。