Question: 3 Fairtree Learning rate: 0.01 Final parameters: [-0. 478385 0. 159844 -2.811213 0.975937 0. 636311 0.18482 ] Final SSE: 2427. 387429 Learning rate: 0.1 Final

Fairtree Learning rate: 0.01 Final parameters: [-0. 478385 0. 159844 -2.811213 0.975937 0. 636311 0.18482 ] Final SSE: 2427. 387429 Learning rate: 0.1 Final parameters: [-0. 754569 0. 120992 -5. 109269 2. 143598 0.992302 -0.522139] Final SSE : 2115. 323379 Learning rate: 0.2 Final parameters: [-0. 754589 0. 102724 -5. 118696 2. 147557 0.994264 -0.543453] Final SSE : 2115.299071 SGD Convergence for Fairtree LR=0.01 3600 LR=0.1 LR=0.2 3400 3200 3000 Sum of Squared Errors (SSE) 2800 2600 2400 2200 20 40 60 80 100 Iteration

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