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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZakirCodeArchitect%2FModel-Capacity-in-Regression-Analysis

Stars: 0
Forks: 0
Open issues: 0

License: None
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

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