Classification-Algorithms
所属分类：聚类算法
开发工具：R
文件大小：9KB
下载次数：0
上传日期：2021-12-24 05:32:47
上 传 者：
sh-1993
说明： 高斯朴素贝叶斯和Logistic回归分类器的从头实现
(Implementation of Gaussian Naive Bayes and Logistic Regression classifiers from scratch)
文件列表:
Dataset for Gaussian Naive Bayes (0, 2021-12-24)
Dataset for Gaussian Naive Bayes\ecoli_xTest.csv (2784, 2021-12-24)
Dataset for Gaussian Naive Bayes\ecoli_xTrain.csv (5550, 2021-12-24)
Dataset for Gaussian Naive Bayes\ecoli_yTest.csv (327, 2021-12-24)
Dataset for Gaussian Naive Bayes\ecoli_yTrain.csv (654, 2021-12-24)
Dataset for Logistic Regression (0, 2021-12-24)
Dataset for Logistic Regression\ecoli_new.xTest.csv (2893, 2021-12-24)
Dataset for Logistic Regression\ecoli_new.xTrain.csv (5768, 2021-12-24)
Dataset for Logistic Regression\ecoli_new.yTest.csv (218, 2021-12-24)
Dataset for Logistic Regression\ecoli_new.yTrain.csv (436, 2021-12-24)
GaussianNaiveBayes.R (3000, 2021-12-24)
LogisticRegression.R (2373, 2021-12-24)
# Classification-Algorithms
Implementation of Gaussian Naive Bayes and Logistic Regression classifiers from scratch on the E-coli dataset, followed by their evaluation on the basis of Precision and Recall
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