標準誤

Python 線性建模入門

Jason Vestuto

Data Scientist

預測的不確定性

模型預測與 RMSE：

模型參數與標準誤：

df = pd.DataFrame(dict(times=x_data, distances=y_data))

model_fit = ols(formula="distances ~ times", data=df).fit()

a1 = model_fit.params['times']
a0 = model_fit.params['Intercept']

slope = a1
intercept = a0

e0 = model_fit.bse['Intercept']
e1 = model_fit.bse['times']

standard_error_of_intercept = e0
standard_error_of_slope = e1

Python 線性建模入門