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An anonymous company has agreed to share real data with us, so we are going to have a little contest using this data! The data comes from a four-class classification problem using 13 features. We are looking for the student who will design the most accurate classifier using this data. | An anonymous company has agreed to share real data with us, so we are going to have a little contest using this data! The data comes from a four-class classification problem using 13 features. We are looking for the student who will design the most accurate classifier using this data. | ||
| − | The [[training_data_HW3_ECE662S12|training data]] consists of 550 data points (i.e. | + | The [[training_data_HW3_ECE662S12|training data]] consists of 550 data points (i.e. 550 points in a 13 dimensional space) along with the correct label for each point. Use this data, along with any method of your choice, to design what you think is an accurate classifier. When you are done designing your classifier, email your source code to your instructor, and you will receive the testing data. Then '''without changing your code''', test your classifier on the testing data and note its accuracy. Summarize your method and results in a report. |
If you feel like sharing your results and methods publicly, feel free to post a copy of your work below, but only '''after the deadline for the homework has past'''. | If you feel like sharing your results and methods publicly, feel free to post a copy of your work below, but only '''after the deadline for the homework has past'''. | ||
Revision as of 11:49, 9 April 2012
Third Homework, ECE662 Spring 2012
Due by 11:59pm, Friday April 27, 2012, in my Rhea dropbox. Make sure to drop it in the correct homework folder!!!!. It is the one at the very bottom of the page.
Automatic Pattern Recognition Contest!
An anonymous company has agreed to share real data with us, so we are going to have a little contest using this data! The data comes from a four-class classification problem using 13 features. We are looking for the student who will design the most accurate classifier using this data.
The training data consists of 550 data points (i.e. 550 points in a 13 dimensional space) along with the correct label for each point. Use this data, along with any method of your choice, to design what you think is an accurate classifier. When you are done designing your classifier, email your source code to your instructor, and you will receive the testing data. Then without changing your code, test your classifier on the testing data and note its accuracy. Summarize your method and results in a report.
If you feel like sharing your results and methods publicly, feel free to post a copy of your work below, but only after the deadline for the homework has past.
The discussion page for this homework is here.
Student Reports
- link to a report
- link to another report.
