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Model Evaluation

Explore methods to evaluate logistic regression models including calculating baseline accuracy, understanding confusion matrices, and interpreting classification reports. Learn how to adjust prediction thresholds to optimize model performance beyond accuracy, especially in sensitive cases like cancer detection.

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Baseline accuracy is a crucial calculation when evaluating our trained model’s performance.

The baseline accuracy

Baseline accuracy is the accuracy that a model can achieve by simply guessing the majority class for every observation.

Formula: baseline accuracy=majority class Ntotal N\small \text{baseline accuracy} = \frac{\text{majority class}\ N}{\text{total}\ N} ...