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🧪 Machine Learning Decision Tree Simulation – Label Noise Robustness

Interactive decision tree simulation – explore classification and data partitioning algorithms.

Machine Learning & Neural Networks2DModerate60 FPS

⚙ Under the hood

This simulation allows you to visually construct and manipulate decision trees, a core algorithm in machine learning. By adjusting the criteria for each node, you can observe how the model learns patterns from data and makes predictions. A label-noise control deliberately scrambles part of the dataset's labels before each tree build. Adds a label-noise control that deliberately mislabels part of the dataset before each tree build.

Decision TreeAlgorithm

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install