STATS 231B
Methods of Machine Learning
Course statistics
- Predicted GPA
- 3.90
- n = 56 · 3 terms · ± 0.066
- A range
- 95%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 3022W
- 1023S
- 1725W
Peak 30
Most recent
17
in 25W
3 terms on record
Grade distribution
- A+ 15 · 26.3%
- A 38 · 66.7%
- B+ 2 · 3.5%
- B 1 · 1.8%
- I 1 · 1.8%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| WU, YINGNIAN | 3.97 | 4.00 | 29 | 1 | 100% |
| LEONG, OSCAR | 3.90 | 3.90 | 17 small sample | 1 | 88% |
| MONTUFAR CUARTAS, GUIDO FRANCISCO | 3.91 | 3.93 | 10 small sample | 1 | 90% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22W 4.00 n=29
- 23S 3.93 n=10
- 25W 3.90 n=17