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VisualizationsClassical Machine Learning

Embedded Feature Selection

Press Train Model and watch each feature's importance grow as the model learns. Weak ones, like Age and Zip Code, drop out with no separate selection step.

The Self-Learning Scientist

Press Train once. No separate scoring step, just watch importance emerge on its own.

Credit Score0%
Income0%
Occupation0%
Age0%
Zip Code0%

Nothing has trained yet. Every bar starts at zero.

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