Second part of the series focussing on classification metrics In the first blog, we discussed some important metrics used in regression, their pros and cons, and use cases. This part will focus on commonly used metrics in classification, why should we prefer some over others with context.

First part of the series focussing on Regression Metrics In the world of postmodernism, Relativism has been, in its various guises, both one of the most popular and most reviled philosophical doctrines. According to Relativism, there is no universal and objective truth; rather each point of view has its own…

Who is going to win this war of predictions and on what cost? Let’s explore. I recently participated in this Kaggle competition (WIDS Datathon by Stanford) where I was able to land up in Top 10 using various boosting algorithms. Since then, I have been very curious about the fine…

“The idea of imputation is both seductive and dangerous” (R.J.A Little & D.B. Rubin) One of the most common problems I have faced in Data Cleaning/Exploratory Analysis is handling the missing values. Firstly, understand that there is NO good way to deal with missing data. I have come across different…