This interactive visualization displays a random forest of decision trees trained on the Iris dataset, with each tree represented as a collapsible, animated dendrogram rendered in SVG. Accuracy levels for each tree are color-coded (red for high, blue for medium, gray for low) via CSS classes, with tooltips on hover. Users can filter trees by attribute or accuracy group using linked dropdown menus. The implementation uses D3.js v5 to parse the hierarchical JSON and construct the tree layouts, with click-to-toggle node expansion and a custom scrollable container for the horizontal forest view.