Predictive Model Development

implementationChallengeNovember 25, 2025

Prompt Content

Develop a machine learning model using Python and libraries like scikit-learn or PyTorch that accurately predicts LNP lung delivery efficacy based on your engineered features. Train your model on the provided dataset, ensuring proper cross-validation and hyperparameter tuning. Utilize StarCoder 2 to accelerate the development of complex data processing or model architecture code segments. Report your model's performance metrics (e.g., R-squared, RMSE) on a held-out test set.

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