Auto Calculate Best Threshold ROC
Project description
Dependencies
Make sure you have install the sklearn
import
from sklearn.metrics import roc_curve
Install the package
pip install package_name
Import the package
from autoroc_rupakbob import autoroc
Call the package function 1
autoroc.best_threshold(test_y,yhat)
Call the package function 2
autoroc.best_threshold_YoudenJstatistic
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
autoroc-0.0.1.tar.gz
(2.3 kB
view details)
Built Distribution
File details
Details for the file autoroc-0.0.1.tar.gz
.
File metadata
- Download URL: autoroc-0.0.1.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 99b7b1a88e3bc3cfc6fddb195b339ddeceaa2616ba087c8e6a22160ebbf2cb20 |
|
MD5 | f73d67f9f18462abebce0db9c30c84ca |
|
BLAKE2b-256 | 3445d21bf6c8564de39f81cdb2e4a177acd9b43dc59cb9f3eb648dcac646c260 |
File details
Details for the file autoroc-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: autoroc-0.0.1-py3-none-any.whl
- Upload date:
- Size: 2.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e84ce122241c577e5637ad79e5391a5854b91c94959653493c4b88cdb0cab07e |
|
MD5 | d174bfe9ae88807b822c40e5c574411c |
|
BLAKE2b-256 | 6a315ece1dd2e88f019b28b34d8f05b41a341d88358d87479da374289fe79252 |