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Results tagged with machine-learning
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user 31379
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
6
votes
Statistical testing: Multiple classifiers, 1 domain. Would rANOVA be appropriate?
An ANOVA with repeated measures is used if you want to compare more than 2 group means where the participants are the same in each group.
In your ML-scenario, you draw samples from either an ordinar …
- 599
3
votes
2
answers
2k
views
Appropriate non-parametric post-hoc test for baseline comparisons?
I want to evaluate several "classifiers" (machine-learning algorithms) with paired samples. I do not want to compare each algorithms' performance to every other (n x m comparison) but only compare the …
- 599
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 complexit …
- 599