Classification model to predict events of fraud.
1 maintainer
Metadata
1 maintainer
Release files for fraud-detection-model 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fraud_detection_model-2.0.0.tar.gz | 79.5 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fraud_detection_model-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 166.7 MB
Release files / fraud_detection_model-2.0.0.tar.gz
| Download URL | fraud_detection_model-2.0.0.tar.gz |
|---|---|
| Size | 79.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.6
|
Release files / fraud_detection_model-2.0.0-py3-none-any.whl
| Download URL | fraud_detection_model-2.0.0-py3-none-any.whl |
|---|---|
| Size | 87.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
db1e47beac013e415936d0c3af2551421a0cc8b5a379bc42457450bdd40269bb
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BLAKE2b-256 checksum How to use checksums |
28bc6ff7d82174c314157b8d9befc2f9ec94326a38ac87f5a29b651ee8c6c0af
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.6
|
Security for fraud-detection-model 2.0.0
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