Instructions to use King-8/entrepreneurial-random-forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use King-8/entrepreneurial-random-forest with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("King-8/entrepreneurial-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
Entrepreneurial Readiness - Random Forest Regressor
π² This model uses Random Forest Regression to predict entrepreneurial readiness scores (0β10) based on financial and personal traits.
π Inputs
- sales_skills
- age
- monthly_income
- assets
- risk_level
- confidence
- difficulty_of_business_idea
- savings_amount
- entertainment
- expenses
- dependents
π§ Model Type
RandomForestRegressor from scikit-learn
π Metrics
- RΒ² Score: 0.96
- MSE: 0.43
π Author: @King-8
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