Instructions to use saranka85/predictive-maintenance-random-forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use saranka85/predictive-maintenance-random-forest with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("saranka85/predictive-maintenance-random-forest", "sklearn_model.joblib") ) # 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
File size: 400 Bytes
dedbc51 | 1 2 3 4 5 6 7 | ,precision,recall,f1-score,support
0,0.570362473347548,0.37049861495844877,0.44920235096557515,1444.0
1,0.6938363085213877,0.8363784003248071,0.7584683357879234,2463.0
accuracy,0.6641924750447914,0.6641924750447914,0.6641924750447914,0.6641924750447914
macro avg,0.6320993909344679,0.603438507641628,0.6038353433767493,3907.0
weighted avg,0.6482012386491008,0.6641924750447914,0.6441657808651,3907.0
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