基于梯度提升决策树的建筑能源得分预测报告：模型解析

    # Pandas and numpy for data manipulation
    import pandas as pd
    import numpy as np
    
    # No warnings about setting value on copy of slice
    pd.options.mode.chained_assignment = None
    pd.set_option('display.max_columns', 60)
    
    # Matplotlib for visualization
    import matplotlib.pyplot as plt
    %matplotlib inline
    
    # Set default font size
    plt.rcParams['font.size'] = 24
    
    from IPython.core.pylabtools import figsize
    
    # Seaborn for visualization
    import seaborn as sns
    
    sns.set(font_scale = 2)
    
    # Imputing m