# Running a data mining contest on Kaggle

Following the success last year, I’ve decided once again to introduce a data mining contest in my Business Analytics using Data Mining course at the Indian School of Business. Last year, I used two platforms: CrowdAnalytix and Kaggle. This year I am again using Kaggle. They offer free competition hosting for university instructors, called InClass Kaggle. Setting up a competition on Kaggle is not trivial and I’d like to share some tips that I discovered to help fellow colleagues. Even if you successfully hosted a Kaggle contest a while ago, some things have changed (as I’ve discovered). With some assistance from … Continue reading Running a data mining contest on Kaggle

# The Scientific Value of Testing Predictive Performance

This week’s NY Times article Risk Calculator for Cholesterol Appears Flawed and CNN article Does calculator overstate heart attack risk? illustrate the power of evaluating the predictive performance of a model for purposes of validating the underlying theory. The NYT article describes findings by two Harvard Medical School professors, Ridker and Cook, about extreme over-estimation of the 10-year risk of a heart-attack or stroke when using a calculator released by the American Heart Association and the American College of Cardiology. “According to the new guidelines, if a person’s risk is above 7.5%, he or she should be put on a statin.” (CNN … Continue reading The Scientific Value of Testing Predictive Performance

# A Tale of Two (Business Analytics) Courses

I have been teaching two business analytics elective MBA-level courses at ISB. One is called “Business Analytics Using Data Mining” (BADM) and the other, “Forecasting Analytics” (FCAS). Although we share the syllabi for both courses, I often receive the following question, in this variant or the other: What is the difference between the two courses? The short answer is: BADM is focused on analyzing cross-sectional data, while FCAS is focused on time series data. This answer clarifies the issue to data miners and statisticians, but sometimes leaves aspiring data analytics students perplexed. So let me elaborate. What is the difference … Continue reading A Tale of Two (Business Analytics) Courses