基于weka3.8.6平台的朴素贝叶斯分类代码，要求：不调用平台自带的NaiveBayes（）函数，自我实现

好的，以下是基于Weka 3.8.6平台的朴素贝叶斯分类[代码](https://geek.csdn.net/educolumn/1572ef9b473b4e00f6b2bf6d428b7c27?spm=1055.2569.3001.10083)，不使用平台自带的NaiveBayes()[[函数](https://geek.csdn.net/educolumn/2319d2a62911adc34b96ea572d8225a2?spm=1055.2569.3001.10083)](https://geek.csdn.net/educolumn/ba94496e6cfa8630df5d047358ad9719?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083)，自我实现： ```java import weka.core.Instance; import weka.core.Instances; import weka.core.converters.ConverterUtils.DataSource; public class NaiveBayesClassifier { public st[ati](https://geek.csdn.net/educolumn/150d7073277950db5f09620704e791cf?spm=1055.2569.3001.10083)c void main([string](https://geek.csdn.net/edu/8802d631b97a4a6af1f4d0bbf8527465?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083)[] args) throws Exception { // 加载数据集 DataSource source = new DataSource("path/to/your/dataset.arff"); Instances dataset = source.getDataSet(); // 设置类别属性 if (dataset.classIndex() == -1) dataset.setClassIndex(dataset.numAttributes() - 1); // 计算类别先验概率和条件概率 double[] classCounts = new double[dataset.numClasses()]; double[][][] condProbs = new double[dataset.numAttributes()-1][datase ```