What is Bayesian Logistic Regression?

Bayesian Logistic Regression In this video, we try to understand the motivation behind Bayesian Logistic regression and how it can be implemented.  Recap of Logistic Regression Logistic Regression is one of the most popular ML models used for classification. It is a generalized linear model where the probability of success can be expressed as a…

Can we use the AUC Metric for a SVM Classifier ? 

What is AUC ? AUC is the area under the ROC curve. It is a popularly used classification metric. Classifiers such as logistic regression and naive bayes predict class probabilities  as the outcome instead of the predicting the labels themselves. A new data point is classified as positive if the predicted probability of positive class…