Instructions to use gusdelact/flores-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use gusdelact/flores-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("gusdelact/flores-classifier", "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
| { | |
| "timestamp": "2026-05-16T02:56:59.506073", | |
| "model_type": "RandomForestClassifier", | |
| "best_params": { | |
| "max_depth": 5, | |
| "max_features": "sqrt", | |
| "min_samples_split": 5, | |
| "n_estimators": 100 | |
| }, | |
| "best_cv_score": 0.9475348282832468, | |
| "oob_score": 0.9487179487179487, | |
| "cv_accuracy_mean": 0.9485507246376812, | |
| "cv_accuracy_std": 0.04275669357680349, | |
| "n_samples": 117, | |
| "n_features": 4, | |
| "feature_names": [ | |
| "SepalLengthCm", | |
| "SepalWidthCm", | |
| "PetalLengthCm", | |
| "PetalWidthCm" | |
| ], | |
| "n_classes": 3, | |
| "random_state": 42, | |
| "params": { | |
| "max_depth": "5", | |
| "max_features": "sqrt", | |
| "min_samples_split": "5", | |
| "n_estimators": "100" | |
| } | |
| } |