Fig. 10

Learning curve analysis of machine learning models with UMAP dimensionality reduction. Plots show training accuracy (solid blue) and validation accuracy (dashed orange) as functions of training set size for (a) KNN, (b) Logistic Regression, (c) Naive Bayes, (d) Random Forest, and (e) MLP. Shaded regions represent 95% confidence intervals.