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Latest revision as of 10:33, 20 April 2012
Discussion for HW3 ECE662 Spring 2012
- I decided to implement Daniel's suggestion below.-pm
All versus All Classification
If you thought this course could not been more fun, then you are wrong. With this competition, everything becomes more interesting. We are talking about a competition among the best students in the world in one of the coolest field of study, pattern recognition! Which classifier will make a better prediction for this data, SVM, Bayes, KNN .. ? How much should I fit my classifier with the training data? Hopefully we can solve this questions by the end of the competition.
For this part of the homework, all you have to do is submit here a text file with the following schema:
Joe Blo
77%
1
0
1
2
3
4
2
3
1
2
0
2
1
The first row is your nickname.
The second row is your predicted results computed with the training set.
All the other rows are your prediction from the test set. Please classify keeping the order given in the test set.
Please submit before May 2012.
- Write Question/comment here.
- Answer here.
Back to HW3 ECE662 Spring 2012
