如何将分类器的结果连接到DataFrame中，以将其可视化为散点图？

import pandas as pd
import matplotlib.pyplot as plt

data = {'Feature1': [value1, value2, ...],
        'Feature2': [value1, value2, ...],
        'Label': [label1, label2, ...]}
df = pd.DataFrame(data)

# 假设使用的是决策树分类器
from sklearn.tree import DecisionTreeClassifier

# 创建分类器对象
classifier = DecisionTreeClassifier()

# 训练分类器
classifier.fit(df[['Feature1', 'Feature2']], df['Label'])

# 预测分类结果
predictions = classifier.predict(df[['Feature1', 'Feature2']])

df['Prediction'] = predictions

# 根据分类结果绘制散点图
plt.scatter(df['Feature1'], df['Feature2'], c=df['Prediction'])
plt.xlabel('Feature1')
plt.ylabel('Feature2')
plt.title('Scatter Plot with Classifier Predictions')
plt.show()