business_case_solver_without_classes.py 文件源码

def visualize_results(df):
    # Visualize logistic curve using seaborn
    sns.set(style="darkgrid")
    sns.regplot(x="pageviews_cumsum",
                y="is_conversion",
                data=df,
                logistic=True,
                n_boot=500,
                y_jitter=.01,
                scatter_kws={"s": 60})
    sns.set(font_scale=1.3)
    sns.plt.title('Logistic Regression Curve')
    sns.plt.ylabel('Conversion probability')
    sns.plt.xlabel('Cumulative sum of pageviews')
    sns.plt.subplots_adjust(right=0.93, top=0.90, left=0.10, bottom=0.10)
    sns.plt.show()


# Run the final program