<p>Some interesting questions and answers:</p>
<ul>
<li><p><a href="https://stats.stackexchange.com/questions/312780/why-is-accuracy-not-the-best-measure-for-assessing-classification-models">Why is accuracy not the best measure for assessing classification models?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/questions/357466/are-unbalanced-datasets-problematic-and-how-does-oversampling-purport-to-he">Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/questions/283170/when-is-unbalanced-data-really-a-problem-in-machine-learning">When is unbalanced data really a problem in Machine Learning?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/questions/247871/what-is-the-root-cause-of-the-class-imbalance-problem">What is the root cause of the class imbalance problem?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/a/622703/393545">Is accuracy an improper scoring rule in a binary classification setting?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/questions/414349/is-my-model-any-good-based-on-the-diagnostic-metric-r2-auc-accuracy-rmse">Is my model any good, based on the diagnostic metric (<span class="math-container">$R^2$</span>
/ AUC/ accuracy/ RMSE etc.) value?</a></p>
</li>
<li><p><a href="https://stats.stackexchange.com/questions/483878/quality-measure-for-predictive-highest-density-regions">Quality measure for predictive Highest Density Regions</a></p>
</li>
</ul>

picky_porpoise