Feature Playground

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class 1 (×) class 0 (○) decision boundary (½)

Dataset

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Basis φ

poly order k1

Model

– examples n

3 features p

2 input dim d

Training — batch GD on the L₂ loss (Lecture 2)

learning rate0.50

keys: space step · p play · r reset θ · n regenerate

Fit

iteration0

L₂ loss–

misclassified–

Reading