GitHub / ZakirCodeArchitect / Model-Capacity-in-Regression-Analysis
This project examines how model complexity and training size impact prediction stability in polynomial regression. By analyzing models of degrees 1 to 4 with confidence intervals, we gain insights into balancing overfitting and underfitting for optimal model selection.
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Language: Jupyter Notebook
Size: 611 KB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 2 months ago
Topics: linear-regression, machine-learning, polynomial-regression, univariate-regressions