GitHub4y
Why Not to Use "squared error cost function" for Logistic Regression
In Andrew Ng's Machine Learning course in Coursera, Andrew mentioned that using we should use logistic cost function instead of the squared error cost function used ...
Simon Fraser University7y
Example 39.9: Conditional Logistic Regression for Matched Pairs Data
In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of being a case or a control and a set of prognostic factors. When each ...
GitHub2y
Naive Bayes and Logistic Regression
The performance of the Naive Bayes and Logistic regression models were compared on the binary-labelled Sentiment 140 dataset and the multiclass-labelled 20 Newsgroup dataset. To optimize model ...
IEEE1y
Yuri Vanli Akay
Accurate Method,Classification Techniques,Comparison Of Random Forest,Cross-validation Technique,Error Values,F-measure Values,Final Test,Input Variables,Logistic ...