classification | Cracking the ML Interview!

How does KNN algorithm work ? What are the advantages and disadvantages of KNN ?

Posted on February 14, 2019February 14, 2019 by InterviewBuddy

k-NN classification: Given a data point in the test set and a training set for which class labels are given, find the k nearest data points in the training set and target label is computed as the mode of the class label of the k nearest neighbours. Advantages : Simple to implement. Can learn non-linear…

You have come up with a Spam classifier. How do you measure accuracy ?

Posted on February 14, 2019 by InterviewBuddy

Spam filtering is a classification problem. In a classification problem, the following are the common metrics used to measure efficacy : True positives : Those data points where the outcome is spam and the document is actually spam. True Negatives: Those data points where the outcome is not spam and the document is actually not…