Context The data pertains to the recruitment industry in India for the years 2014-2016 and deals with candidate interview attendance for various clients. The details are largely self explanatory. Content The data have been collected by me and my fellow researchers over a period of over 2 years between September 2014 and January 2017. There are a set of questions that are asked by a recruiter while scheduling the candidate. The answers to these determine whether expected attendance is yes, no or uncertain. For details on individual feeds, see the [Data](https://www.kaggle.com/vishnusraghavan/the-interview-attendance-problem/data) tab. Acknowledgements A great measure of thanks goes to my colleaues in research and work. 1. Dr Rajendra Desai: Associate Professor, St Joseph's College of Management, Bangalore 2. Marcia Akshaya Leo: HR recruiter, Chennai 3. Dr Rashmi Nakra, Professor, St Josephs College of Management, Bangalore 4. Prima: Student, St Josephs College of Management, Bangalore 5. Trupthi: Student, St Josephs College of Management, Bangalore Inspiration A few pointers: * We have already attempted Naive Bayes with decent results. * We would like to know if we can predict whether a candidate will attend interviews or not with other algorithms * Also, whether any of the present set of variables can be modified to yield better results * Whether we can find additional variables from the internet and whether we can derive variables from the existing set of variables.