Computer scienceData scienceMachine learningEnsemble learning

Gradient boosting: the illustrated regression

The gradients

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Suppose we are working with a fragment of the California housing dataset, using the Median Income and the Average bedroom count as the features:

MedInc AveBedrms MedHouseVal
3.5 1 2.3
4.6 1 2
1.5 1 1.5
2.2 5 4.2

What are the values of r1r_1 (the first gradient)? Assume the loss function is L=12(y(i)y^)2L = \frac{1}{2}(y^{(i)} - \hat{y})^2.

Enter the values, with each value separated by a space.

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