decision boundary – Machine Learning Interviews

Can we use the AUC Metric for a SVM Classifier ?

Posted on August 17, 2020June 28, 2021 by MLInterview

This video explains computing the AUC metric for an SVM classifier, or other classifiers that give the absolute class values as outcomes. What is Area Under the Curve ? AUC is the area under the ROC curve. It is a popularly used classification metric. If you want to recap how AUC works, here is a…

Can you give an example of a classifier with high bias and high variance?

Posted on February 14, 2019February 21, 2019 by MLNerds

High bias means the data is being underfit. The decision boundary is not usually complex enough. High variance happens due to over fitting, the decision boundary is more complex than what it should be. High bias high variance happens when you fit a complex decision boundary that is also not fitting the training set…