Model to predict survival chance of heart patients
Project description
Model to predict survival chance of heart patients
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
survival_model-0.0.4.tar.gz
(38.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file survival_model-0.0.4.tar.gz.
File metadata
- Download URL: survival_model-0.0.4.tar.gz
- Upload date:
- Size: 38.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5c3884243bb6a365c52cc8dc91fbd6c08c5e213e81237df71fefb95a02d6025b
|
|
| MD5 |
c30953076d3576f9ab72d54b819fb9be
|
|
| BLAKE2b-256 |
b571cae330ae684a6167d099503f7b0bf43656a09edac44755fc5e0fc76b8c98
|
File details
Details for the file survival_model-0.0.4-py3-none-any.whl.
File metadata
- Download URL: survival_model-0.0.4-py3-none-any.whl
- Upload date:
- Size: 35.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3948521ca0962355ab76b7588d59fa92ebe690d71fcf8d3ccc345400a1d7d096
|
|
| MD5 |
8233bbbab813705b298737e888e901e6
|
|
| BLAKE2b-256 |
528c1c4b0962d479dafd3f564babb8710934c965cfcfb07309ef1e9f78841cbf
|