IPL player performance prediction using machine learning | |
| Author | Reddy, Doggala Ajay Kumar |
| Call Number | AIT RSPR no.IM-19-03 |
| Subject(s) | Data mining Machine learning Cricket--Data processing |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-19-02 |
| Abstract | Selection Procedure for IPL has been very different procedure as the players are selected based on the previous performance in their matches in international cricket. Selecting a perfect team of eleven players with batsmen, bowler and wicket keeper is always a difficult task for franchises in IPL. The better the performance of the player, the more money he is sold for franchise. The research attempts to predict the runs and wickets taken in IPL. We classified both the results into different ranges. We used Naive Bayes, Decision Tree Classifiers, Random Forest and SVM to classify the prediction models. |
| Year | 2019 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-19-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta;Chutiporn Anutariya; |
| Examination Committee(s) | Bohez, Erik L.J.;Nicole, Olivier; |
| Scholarship Donor(s) | Asain Institute of Technology Fellowship; |
| Degree | Research studies project report (M. Eng.) - Asian Institute of Technology, 2019 |