Machine Learning Competition
|Team ID||Team Name||Institute Name||Country||Conservative||Liberal||Mean Rank||Misclassification Error Conservative (%age)||Misclassification Error Liberal (%age)||Cross-Score Conservative||Cross-Score Liberal|
|1327700102||LNCC||LaboratÃ³rio Nacional de ComputaÃ§Ã£o CientÃfica||Brazil||-142||1||-134||3||2||33.57||33.21||-189||-133|
|1326533327||Gilnov_jetlui||Jaypee University Of Engineering and Technology||India||-237||8||-194||10||9||41.24||39.41||-218||-225|
|1326655984||NITK Machinelearners||NIT Karnataka||India||-276||10||-244||11||10.5||69.70||52.18||-214||-429|
|1327935355||Vigilant||Bhoj Reddy Engineering College for Women||India||-301||12||-326||12||12||76.27||62.40||-236||-495|
|1326463866||ML||National University of Sciences and Technology||Pakistan||-356||13||-506||14||13.5||69.34||69.34||-356||-506|
|1326706980||Impregnable Thinkers||Vemana Institute Of Technology Bangalore||India||-384||14||-499||13||13.5||81.75||68.61||-306||-688|
*The cross score is calculate by interchanging the filters, i.e., applying Liberal filter on Conservative error matrix or vice versa.
The first prize of USD 2000 goes to LNCC, which has the best mean error rank, an interpretable model, which is human-readable. They solve all aspects of the problem.
The second prize is tied between Soulastral, DataMiners and Lusana. All these three rank immediately after LNCC as far as error is concerned. Whereas neither Lusana, nor Soulastral or DataMiners, do anything regarding the model interpretability, but DataMiners and Lusana at least derive insights through selected features. Soulastral does better on error among these three; Lusana has the best and more detailed methodology. All these get USD 660 each. (A three way split for the second prize)
Maverick and Omega did not qualify our benchmark of quality of the methodology as reported in their documents. However as an encouragement, we provide USD 50 each to them.
All the remaining entries get a free machine learning book as a token of appreciation!
- We will share more details of solutions and prizes soon.
- We promised total prize money of $5000. We did not get enough entries with good quality that makes these prizes deserving. Whereas we have given out the lion's share of the prize money, we have saved some to spread awareness and education about computer science and social problems among youth over the next one year. We shall share the exact details soon.
- The results have been arrived upon by the consensus of the experts at MIT and Aspiring Minds after considerable brainstorming. These shall be considered as final and are not subject to any change.