Question: Match the following models: (a) linear regression with 1 feature variable, (b) quadratic regression with 1 feature variable, (c) multivariate linear regression with 3 feature

Match the following models: (a) linear regression with 1 feature variable, (b) quadratic regression with 1 feature variable, (c) multivariate linear regression with 3 feature variables, (d) multi-layer perceptron with 1 feature variable and two 10-neuron hidden layers, (e) k-nearest neighbor with k=4, (f) multi-layer perceptron with 1 feature variable and one 25-neuron hidden layer,

to the number of parameters that the models have (assuming that each model predicts one output label):

- non-parametric:

- 2 parameters: - 3 parameters: - 4 parameters:

- 76 parameters:

- 141 parameters:

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