# Tag Info

• 33k
1 vote

### Which approach should I use to classify points above and below a sine function $y(x) = A + B \sin(Cx)$?

You can try using Fourier basis functions to transform your observable variables and then apply a general linear regression model. To clarify, if you have pairs of observables $(y_i, x_i)$ where $y_i$ ...
• 2,216
1 vote

### Why are CNN binary classifier output probability distributions often skewed?

Yes, due to this issue, you should use temperature scaling after training your model. It will calibrate your probability and you will start to get the same kind of distributions. Here are a good ...
1 vote

• 176
1 vote

### Why is my fine-tuned YOLO model detecting other objects as a human?

So you have a network pretrained on 80 classes. I also assume that one of these classes are human (or else this is just not the way to go*) I suspect that the final layer contains 80 labels, correct? ...
1 vote

### If we want to classify something as either a cat/dog or neither, do we need 2 or 3 classes?

As far as generalization error is concerned, you are better off by learning the data distribution of (A and B) classes using unsupervised criterion. If you capture the underlying factors that ...
• 364
1 vote
Accepted

### If we want to classify something as either a cat/dog or neither, do we need 2 or 3 classes?

The best approach may be to have a cat, dog, and neither class (3 classes total) and go with a regression approach — specifically, outputting the probabilities of each class for any given input. From ...
• 416

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