one vs rest
loocv
all vs one
one vs another
Answer is Wrong!
Answer is Right!
The correct answer is A. one vs rest.
One-vs-rest is a multiclass classification technique that involves creating a separate binary classifier for each class. The classifier for class $i$ is trained on all the data points that are labeled as $i$, as well as all the data points that are labeled as any other class.
One-vs-rest is a simple and effective technique for multiclass classification. It is often used as a baseline method to compare other multiclass classification techniques.
The other options are incorrect for the following reasons:
- B. loocv is a leave-one-out cross-validation technique. It is not a multiclass classification technique.
- C. all vs one is a multiclass classification technique that involves creating a single binary classifier that distinguishes between all the classes. This technique is less effective than one-vs-rest.
- D. one vs another is not a valid multiclass classification technique.