Instructions to use saifhmb/Credit-Card-Risk-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use saifhmb/Credit-Card-Risk-Model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("saifhmb/Credit-Card-Risk-Model", "skops-akmmropo.pkl") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -138,7 +138,7 @@ the precision and recall metrics globally by counting the total true positives,
|
|
| 138 |
| precision | 0.699187 |
|
| 139 |
| recall | 0.699187 |
|
| 140 |
|
| 141 |
-
###
|
| 142 |
SHAP was used to determine the important features that helps the model make decisions
|
| 143 |

|
| 144 |
|
|
|
|
| 138 |
| precision | 0.699187 |
|
| 139 |
| recall | 0.699187 |
|
| 140 |
|
| 141 |
+
### Model Explainability
|
| 142 |
SHAP was used to determine the important features that helps the model make decisions
|
| 143 |

|
| 144 |
|