Question 36
Consider the following code snippet:
from sklearn.datasets import fetch_california_housingfrom sklearn.neural_network import MLPRegressor
X,y = fetch_california_housing(as_frame = True, return_X_y = True)rs = MLPRegressor(activation='logistic', hidden_layer_sizes=(12,15,13,11,12,8), random_state=12)rs.fit(X, y)Based on the above data, answer the given subquestions.
What will be the output of the following code?
(5, 12)
(6, 11)
(8, 15)
(12, 8)