All Questions
4
questions
4
votes
0
answers
442
views
Derivation of k nearest neighbor classification rule
One way to derive the k-NN decision rule based on the k-NN density estimation goes as follows:
given $k$ the number of neighbors, $k_i$ the number of neighbors of class $i$ in the bucket, $N$ the ...
- 426
0
votes
1
answer
184
views
How to know which two hyperparameters are more important in SVM, KNN and MLP?
I am trying to limit myself to a maximum two hyper-parameters that are important in KNN, SVM and ...
- 5
2
votes
1
answer
520
views
Why is a parametric classifier faster to train than a non-parametric one?
In the tutorial Parametric and Nonparametric Machine Learning Algorithms it says that parametric classifiers are faster than non-parametric classifiers. The reason that non-parametric classifiers are ...
- 295
4
votes
1
answer
2k
views
Friedman's test to identify best of multiple classifiers on multiple domains
I have several classifiers $f_i\ (i=1, \cdots, N)$ and calculated performance measures on multiple domains $(D)$ for each. Thus, there are $N \times D$ values.
I want to find out (increasing ...
- 599