Quiz Break Points
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(Difference between revisions)
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|Problem 1 KNN+ID Trees | |Problem 1 KNN+ID Trees | ||
- | | ≥ | + | | ≥ 45 |
- | | ≥ | + | | ≥ 39 |
|- | |- | ||
|Problem 2 Neural Nets | |Problem 2 Neural Nets | ||
- | | ≥ | + | | ≥ 44 |
- | | ≥ | + | | ≥ 37 |
|- | |- | ||
|Overall | |Overall | ||
- | | ≥ | + | | ≥ 89 |
- | | ≥ | + | | ≥ 76 |
|} | |} | ||
Revision as of 22:42, 16 December 2010
Breakpoints for Quiz 1:
Thorough understanding | Adequate understanding | |
Problem 1 Rule-based Systems | ≥ 42 | ≥ 36 |
Problem 2 Search | ≥ 44 | ≥ 37 |
Overall | ≥ 86 | ≥ 73 |
Breakpoints for Final Part 1:
Thorough understanding | Adequate understanding | |
Problem 1 Rule-based Systems | ≥ 45 | ≥ 41 |
Problem 2 Search | ≥ 46 | ≥ 38 |
Overall | ≥ 91 | ≥ 79 |
Breakpoints for Quiz 2:
Thorough understanding | Adequate understanding | |
Problem 1 Games | ≥ 40 | ≥ 34 |
Problem 2 CSP | ≥ 40 | ≥ 33 |
Overall | ≥ 80 | ≥ 67 |
Breakpoints for Final Part 2:
Thorough understanding | Adequate understanding | |
Problem 1 Games | ≥ 44 | ≥ 38 |
Problem 2 CSP | ≥ 43 | ≥ 37 |
Overall | ≥ 87 | ≥ 75 |
Breakpoints for Quiz 3:
Thorough understanding | Adequate understanding | |
Problem 1 KNN+ID Trees | ≥ 45 | ≥ 39 |
Problem 2 Neural Nets | ≥ 44 | ≥ 37 |
Overall | ≥ 89 | ≥ 76 |
Breakpoints for Final Part 3:
Thorough understanding | Adequate understanding | |
Problem 1 KNN+ID Trees | ≥ 42 | ≥ 36 |
Problem 2 Neural Nets | ≥ 35 | ≥ 25 |
Overall | ≥ 77 | ≥ 61 |
Breakpoints for Quiz 4:
Thorough understanding | Adequate understanding | |
Problem 1 SVM | ≥ 45 | ≥ 40 |
Problem 2 Boosting | ≥ 46 | ≥ 41 |
Overall | ≥ 91 | ≥ 81 |
Breakpoints for Final Part 4:
Thorough understanding | Adequate understanding | |
Problem 1 SVM | ≥ 39 | ≥ 30 |
Problem 2 Boosting | ≥ 45 | ≥ 39 |
Overall | ≥ 84 | ≥ 69 |
Breakpoints for Final Part 5:
Thorough understanding | Adequate understanding | |
Problem 1 Probability | ≥ 42 | ≥ 34 |
Problem 2 Near Miss & Misc | ≥ 35 | ≥ 23 |
Overall | ≥ 77 | ≥ 57 |