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VisualizationsClassical Machine Learning

Random Forest

Drag from 1 to 100 trees and watch testing accuracy and prediction stability climb as the trees' mistakes cancel out. Training accuracy stays at 97%.

Build a Forest

Drag the slider to add more trees to the forest and watch what happens to accuracy and stability.

🌳
1 tree100 trees
Training Accuracy97%
Testing Accuracy71%
Prediction Stability30%

One tree is just one opinion. It can be a good one or a bad one, and there's no way to tell which without trying it on new data.

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