如何可视化一个sklearn GradientBoostingClassifier？

import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_classification
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.tree import plot_tree

X, y = make_classification(n_samples=100, n_features=2, n_informative=2, n_redundant=0, random_state=42)

model = GradientBoostingClassifier(n_estimators=100, learning_rate=0.1, random_state=42)
model.fit(X, y)

fig, axes = plt.subplots(figsize=(12, 8))
plot_tree(model.estimators_[0], filled=True, ax=axes)
plt.show()