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Results tagged with classification
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user 40917
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.
2
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1
answer
1k
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Should I use multi-label classification?
I have a classification problem with 2 classes (positive and negative). Usually, in such classification problems, all the samples will be labelled either 'positive' or 'negative'. … Label the samples in $x_3$ with both labels (positive & negative) and consider this as a multi-label classification problem.
I wish to follow the second option, as it is more natural choice. …
- 511
8
votes
3
answers
32k
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Handling unbalanced data using SMOTE - no big difference?
I have a classification problem with 2 classes. I have nearly 5000 samples, each of which is represented as vector with 570 features. The positive class samples are nearly 600. … Subsequently, classification with 10 fold CV is performed. I get a f-measure of 0.91. …
- 511
3
votes
0
answers
156
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What should I use - Multi label classification or Multi class classification? [duplicate]
Hence, I am considering multi-class classification as an option. Please advise on this and let me know if I am right. … Also, if possible please point to literature where such trivial case of multi-label classification problems are dealt with. …
- 511
11
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2
answers
12k
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Is f-measure synonymous with accuracy?
I understand that f-measure (based on precision and recall) is an estimate of how accurate a classifier is. Also, f-measure is favored over accuracy when we have an unbalanced dataset. I have a simple …
- 511