如何将由ML模型生成的线性回归线添加到散点图中？
pickle_in=open("student-model.pickle","rb")
linear=pickle.load(pickle_in)
acc=linear.score(x_test, y_test)
print(f"accuracy= {round(acc*100,2)}%")
#comment: for scatter plot
style.use("ggplot")
p="G1"
pyplot.scatter(data[p],data["G3"])
pyplot.xlabel(p)
pyplot.ylabel("Final Grade")
pyplot.show()
from numpy.polynomial.polynomial import polyfit
b, m = polyfit(x, y, 1)
pyplot.plot(x, b + m * x, '-')