aai510-group1/telco-customer-churn
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How to use AIExplorer1234/customer-churn-prediction with Scikit-learn:
from huggingface_hub import hf_hub_download
import joblib
model = joblib.load(
hf_hub_download("AIExplorer1234/customer-churn-prediction", "sklearn_model.joblib")
)
# only load pickle files from sources you trust
# read more about it here https://skops.readthedocs.io/en/stable/persistence.htmlThis model predicts telecom customer churn using machine learning. It analyzes tenure, monthly charges, and contract types. Trained with logistic regression and decision trees, it helps businesses reduce churn through targeted retention strategies. Evaluation includes accuracy, precision, and AUC scores.
Base model
openbmb/MiniCPM-o-2_6