WEKA-分类器选项中未激活的本地离群因素
我正在尝试使用名为WEKA的无代码平台来检测异常值。我已经在其软件包管理器中安装了WEKA维护的软件包。但是，我已经将KD-CUP 1999数据集导入到WEKA中，并且我正在尝试使用分类器选项（分类选项卡是用于培训和评估不同机器学习算法的性能）。不是被激活或简单地不允许我通过WEKA软件包管理器安装Depsite me，提供了一个图像以获得更好的见解： https://i.sstatic.net/9fltr.png
I'm trying to detect outliers using a no code platform called Weka. I've installed the packages maintained by Weka within it's package manager. However, I've imported the KD-CUP 1999 dataset into Weka and I'm trying to use the classifer option (The Classify tab is for training and evaluating the performance of different machine learning algorithms) The issue is that the Local Outlier Factor algorithm is not activated or simply isn't allowing me to use it depsite me installing via Weka package manager, an image is provided for better insight: https://i.sstatic.net/9FLTr.png
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当算法在WEKA中 时，这意味着您已加载的数据类型（即，属性类型）之间存在差异。
检查用户界面中分类器的功能（ select 分类器，然后在字段上左键单击列出名称/选项，然后单击功能< /em>按钮）。
您可能必须使用过滤器转换数据集中的某些属性（例如， stringtonominal 或 numerictonominal ）在使用该特定分类器之前。
When an algorithm is grayed out in Weka, that means that there is a discrepancy between the type of data (i.e., attributes types) that you loaded and what the algorithm, e.g., classifier or clusterer, can handle.
Check the Capabilities of the classifier in the user interface (choose the classifier, then left-click on the field listing the name/options and then click the Capabilities button).
It is possible that you may have to convert some attributes in your dataset with filters (e.g., StringToNominal or NumericToNominal) before you can use that particular classifier.