- 5 15 Marks See Details Below Consider The Following Dataset Ii Y 0 1 1 2 2 3 3 2 4 1 Now Suppose That We Would Li 1 (125.89 KiB) Viewed 46 times
5. [15 Marks (see details below)] Consider the following dataset. Ii y 0 1 1 2 2 3 3 2 4 1 Now, suppose that we would li
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5. [15 Marks (see details below)] Consider the following dataset. Ii y 0 1 1 2 2 3 3 2 4 1 Now, suppose that we would li
5. [15 Marks (see details below)] Consider the following dataset. Ii y 0 1 1 2 2 3 3 2 4 1 Now, suppose that we would like to consider two models. Modelj : y = Bo + E, and Model : y = B1X1 +€, where e ~ N(0,1). That is, we consider two linear models Model, is the constant model and Model, is a regular linear model without the intercept. (a) [5 Marks)] Fit these models tot the data and write the corresponding coefficients. Namely, fill the following table: Bo Model Modeli Model Bi 0 (b) [5 Marks)] Consider the squared error loss, the absolute error loss, and the L1.5 loss. Find the average loss for each model. Namely, fill the following table: squared error loss absolute error loss L 1.5 loss Model Model Model (c) [5 Marks)] Draw a conclusion from the obtained results.