Model Performance Parameter Experiment
· 2 min read
This post summarises a model performance experiment using held-out test data to compare classification and regression parameter choices.
This post summarises a model performance experiment using held-out test data to compare classification and regression parameter choices.
In this short exercise, I explored how gradient descent reduces a cost function by repeatedly updating model parameters.
Google Colab notebook: Open in Google Colab
I expanded a basic correlation and regression example into controlled experiments to explore how dataset properties affect statistical results.