Skip to main content
SimilarExport ZIP
100%

Arbre_Groupe_Accuracy

✓ Published1🌍 Public
Zzeyneb.mhamedi@gmail.com
Last edited May 5, 2023
Created on May 3, 2023
Forked from Arbre_Axe_Accuracy

This visualization displays a forest of decision trees, each with an associated accuracy score. Trees are arranged along the horizontal axis based on their accuracy, placing high-accuracy trees on the left and lower-accuracy trees on the right. The node colors (red, blue, gray) correspond to accuracy thresholds, and clicking a node highlights all nodes with the same name across the different trees. The visualization uses D3.js's `d3.tree` and `d3.hierarchy` to lay out each tree, and it leverages SVG for rendering, with an interaction that toggles a CSS class on matching nodes. The data is imported from a local ES6 module and displayed in a horizontally scrollable container.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Arbre_Groupes_Accuracy_Triés

This visualization displays a forest of decision trees grouped and sorted by their accuracy scores. Each tree is rendered hierarchically using the D3 tree layout, with node colors (red, blue, or gray) indicating high, medium, or low accuracy. The trees are positioned along a horizontal accuracy scale, and an interactive dropdown allows filtering by accuracy group or specific feature. D3’s hierarchical layout and SVG rendering display the tree structures, with a legend and tooltip providing additional context.

Zzeyneb.mhamedi@gmail.com
94% match
Loading thumbnail…

Arbre_Groupes_Accuracy_Triés

A forest of decision trees is displayed in an SVG canvas, sorted into three accuracy groups (high, medium, low) and arranged horizontally by group, with each tree’s nodes colored by its root accuracy. Users can click a node to highlight all matching node names across trees in yellow. The visualization uses D3 v5’s `d3.hierarchy` and `d3.tree` layouts, with data from a local ES6 module. Node colors are assigned via conditional accuracy thresholds, and sorting is performed in descending order within each group.

Zzeyneb.mhamedi@gmail.com
93% match
Loading thumbnail…

Arbre_Axe_Accuracy

This visualization displays a forest of decision trees, arranged in a horizontal strip, with each tree colored according to its accuracy metric. The trees are rendered as hierarchical node-link diagrams using the `d3.tree` layout, and nodes change color to yellow when toggled. The code uses D3 v5 to import data, apply the tree layout, and generate SVG elements with animation, specifically leveraging `d3.hierarchy` to structure the data and a custom `getColorByAccuracy` function for fill colors. Links and nodes are drawn with SVG paths and circles.

Zzeyneb.mhamedi@gmail.com
92% match
Loading thumbnail…

Fork of Arbre_Axe_Accuracy

This visualization displays multiple decision trees as a forest of color-coded hierarchical diagrams, with each tree’s accuracy represented by node color: red for high accuracy, blue for medium, and gray for low. The d3.tree layout positions nodes in a branching structure, while the scrollable SVG container allows horizontal navigation across the full set of trees. Using D3 v5, the code generates hierarchical layouts from raw data, calculates bounding circles for each tree, and applies interactive toggling to highlight nodes sharing identical names across different trees, enhancing structural comparison.

Hhoriayeb
87% match
Loading thumbnail…

Fork of Arbre_Axe_Accuracy

This visualization displays a forest of hierarchical decision trees, each representing a model with an associated accuracy score. The trees are color-coded by accuracy—red for high (≥0.8), blue for medium (≥0.6), and gray for low—allowing viewers to compare structural complexity and performance across models. The code uses D3 v5’s `d3.tree` layout to compute node positions, with the SVG rendered and animated via D3’s selection and transition methods. Multiple trees are placed horizontally within a scrollable container, and interactions highlight nodes sharing the same name across different trees.

DDing
87% match
Loading thumbnail…

Arbre_Accuracy_Caractéristiques

Four decision trees side by side show the accuracy of each model through the color and size of its root node, with red circles for accuracy above 0.8, blue for 0.6–0.8, and gray for lower values. The D3.js v5 layout uses `d3.tree()` to position nodes, while link and node elements are rendered as SVG. Clicking any node highlights that same characteristic across all trees by toggling a CSS class.

Zzeyneb.mhamedi@gmail.com
86% match
Loading thumbnail…

Fork of Fork of Arbre_Axe_Accuracy

This example displays a forest of six decision trees, each with an associated accuracy score that determines the color of its nodes (red, blue, or gray). The trees are positioned side-by-side and can be scrolled horizontally within a container. Using the D3 v5 `d3.tree()` layout, the code recursively processes the nested data to generate hierarchical SVG node-link diagrams, applying custom color classes based on accuracy thresholds. The visualization includes animation capabilities and tooltip interactions through the SVG rendering, with the `d3.hierarchy()` API used to structure the raw data before layout computation.

SSubhendu Karmakar
84% match
Loading thumbnail…

Arbres Triés

A ranked forest of decision trees visualizes model accuracy through color-coded root nodes, with red, blue, and gray indicating high, medium, and low performance. Users click any node to highlight all matching feature names across the four trees in yellow. The example uses D3 v5’s `d3.cluster()` layout to arrange each hierarchy radially, while SVG circles and CSS classes manage the interactive styling and tooltip display.

Zzeyneb.mhamedi@gmail.com
81% match