Published May 3, 2023
| Version v2
Dataset
Open
Matlab Positive Unlabeled Learning Tools Datasets
Description
Datasets to accompany the "Positive Unlabeled Learning Tools" Matlab repository implementing AlphaMax and DistCurve
[](https://www.mathworks.com/matlabcentral/fileexchange/125175-positive-unlabeled-learning-tools)
Original datasets from UCI Machine Learning Repository - https://archive.ics.uci.edu
Files
Files
(250.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:3f232ac32c3fce3af9825100b7db613a
|
3.6 MB | Download |
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md5:a84bdd3276a310ad5a1da4d6e248f974
|
8.0 MB | Download |
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md5:3d7bd4abbc5fda52554fde31d35ec062
|
8.8 MB | Download |
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md5:73d9812c42a322ecd993b6a87961fcbf
|
7.5 MB | Download |
|
md5:b1f4625f84ac8db442806bcc340183be
|
818.9 kB | Download |
|
md5:106914d3792bd8e24f8af5a58d4c8212
|
16.2 MB | Download |
|
md5:b99036119a04772f14c956e018e46d27
|
7.8 MB | Download |
|
md5:444dc6fba3dabc44e3ead7bc061421c3
|
14.4 MB | Download |
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md5:d850f22b5c960e999efa411254f73437
|
646.3 kB | Download |
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md5:a42d7810e433a843634c14f3e3a818f3
|
30.6 MB | Download |
|
md5:6d2a6cfcf4b17cbd02bd4f635d53ef82
|
85.7 MB | Download |
|
md5:28a82e4191f98850c9ffed2532c6300d
|
4.9 MB | Download |
|
md5:8a9324fa0bb49b0e5075cfb7196643b4
|
456.4 kB | Download |
|
md5:30a15f4f0a2cba8c647663b4e3278a98
|
6.0 MB | Download |
|
md5:fedad6aa05a0414ea6561e7cdfb5b3e6
|
4.1 MB | Download |
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md5:891e811b304bba02c764dc526ac31d61
|
5.5 MB | Download |
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md5:c878f64234255db190c952a971802feb
|
4.2 MB | Download |
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md5:653cc5c48cfecd3c99c29ed32e63adfa
|
9.9 MB | Download |
|
md5:df3e3ade85528eacba3195e43df9f0ad
|
533.4 kB | Download |
|
md5:a02b5b67aa20f23405b15cf16fc2d6b8
|
7.0 MB | Download |
|
md5:6e527833eb72c33a6d70517791e3e324
|
4.8 MB | Download |
|
md5:bfa33079cad0c89c2c4fdddd7038c87e
|
4.1 MB | Download |
|
md5:7f3b19774fd69d298a2762e5515e7a3d
|
427.3 kB | Download |
|
md5:2154aa8748e15600a5deff3e205a33e1
|
5.4 MB | Download |
|
md5:2d19eb62584498d1f1f31f630425b629
|
4.4 MB | Download |
|
md5:9f07927b745c3cac45de9b3387f807dd
|
4.7 MB | Download |
Additional details
Related works
- References
- Conference paper: 10.1609/aaai.v34i04.6151 (DOI)
- Preprint: 10.48550/arXiv.1601.01944 (DOI)