vault backup: 2026-05-21 14:53:37

Running Start/CSB320 - Machine Learning Concepts/Class 4-23 (Model Validation & Evaluation).md

@@ -82,3 +82,6 @@ Log loss is used to optimize the weights of a logistic regression. MSE cannot be
 Logistic regressions also only predict between 0 - 1 (probabilities) so any error value will be between 0 - 1 using MSE which is not ideal.
 
 The log loss function is used to penalize wrong predictions more harshly when they are more confident.
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+![[LogLoss.excalidraw]]
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