搜索资源列表
BayesClassifier.rar
- 贝叶斯分类算法，构造朴素贝叶斯分类器，对给定的中文文本进行分类,Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification
NaviveBayesClassify
- 基于朴素贝叶斯文本分类器 可进行简单的文本分类-Based on Naive Bayes text classification can be simple text classification
NB
- 特征之间非独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率-NB
NBC
- 朴素贝叶斯模型，用来做大数据的分类，是一种很简单易上手的模型，代码很简单，有例子。(Naive Bayes model is used to enlarge the classification of data)
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
myBayes
- 这个是本人自己写的朴素贝叶斯算法，参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
Bayes
- 最简单的朴素贝叶斯程序，其中的数据上花种的分类情况。(Naive Bayesian program is the most simple, the classification of the data on the flowers.)
NavieBayes github java
- java 朴素贝叶斯 机器学习 情感分类器(java naivebayes machinelearing)
naive_bayes
- 朴素贝叶斯算法分类及回归，附带训练集和测试集，可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
bayes
- 使用朴素贝叶斯对垃圾邮件进行分类，附带数据(For spam classification using Naive Bayesian, supplementary data)
朴素贝叶斯
- 借助朴素贝叶斯算法，针对文本正负面进行判别，并且利用C#进行编程实现(The naive Bayes algorithm is used to judge the positive and negative sides of the text, and the program is implemented by using C#)
NativeBayes
- 朴素贝叶斯垃圾邮件分类器，好歹哦后期维护阿里斯顿啊两千万(Naive Bayes spam classifier)
朴素贝叶斯源码
- 朴素贝叶斯分类器用Python实现，基础代码适合初学者(Naive bayes classifier is implemented in Python, and basic code is suitable for beginners)
naiveBayesian2
- 数据挖掘十大算法之一，朴素贝叶斯算法的实现(One of the ten data mining algorithms and the naive Bayesian algorithm)
NB
- 编写朴素贝叶斯分类器，对测试集进行分类预测，并计算分类精度(The naive Bias classifier is compiled, and the test set is classified and predicted, and the classification accuracy is calculated)
naivebayes
- 朴素贝叶斯分类算法的代码，可实现多案例使用(The code of the simple Bias classification algorithm can be used for multiple cases)
nb
- 朴素贝叶斯分类分为两步： ① 计算特征项和所属类别之间的概率; ② 判断文本dj是否属于类别ci的概率 本代码为训练阶段(Naive Bayes classification is divided into two steps: 1 Calculate the probability between the feature item and its own category; 2 The probability of judging whether the text dj belong
adult
- 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类！(Adult dataset is classified based on decision tree and naive bayes!)
bayes_analyse
- 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)
朴素贝叶斯
- 能实现对相应数据集进行分类，并计算出准确率(Able to classify the corresponding data set and calculate the accuracy)