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Results tagged with classification
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user 63739
Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
1
vote
Accepted
Scoring a model with "distance from truth"
Usually it's used for regression tasks, not for classification, thus you might not have encountered it. … Still, when it does get used to compare classification algorithms there are certain caveats, for example:
For example, it has similar problems like accuracy when used with unbalanced datasets in that …
- 722
8
votes
3
answers
3k
views
Train test split with time and person indexed data
Setup
Consider the data in the tables below, indexed by Subject and Time $t$. Both tables show the same dataset, once ordered by Subject, once ordered by $t$ (left vs. right). The train-test split fo …
- 722
2
votes
Which model should I use to predict pass/fail scenario?
The simplest model to tackle this problem is logistic regression. You can also try Random forests or Support Vector Machines, even Deep learning (although I would not recommend this directly).
This is …
- 722