Hands-On Machine Learning with Scikit-Learn & TensorFlow Exercise Q&A Chapter 02

Due to an unknown reason, the Scikit-Learn package on my computer is unable to handle the ColumnTransformer function, resulting in repeated failures in obtaining the housing_prepared data. As a result, the responses that follow are the official answers and results.

Q1. 采用支持向量机回归模型（sklearn.svm.SVR），尝试不同的超参数配置。对于核函数为线性的情况（通过调节C参数的不同取值），以及核函数为径向基函数的情况（同时调节C和gamma参数），观察最佳预测器的表现如何？

A1:

model:

 from sklearn.model_selection import GridSearchCV

    
  
    
 param_grid = [
    
     {'kernel': ['linear'], 'C': [10., 30., 100., 300., 1000., 3000., 10000., 30000.0]},
    
     {'kernel': ['