如何绘制sklearn的GridSearchCV结果与参数？

import matplotlib.pyplot as plt
import numpy as np
from sklearn.model_selection import GridSearchCV

# 假设你已经定义好了参数网格和模型
param_grid = {'C': [0.1, 1, 10, 100], 'gamma': [0.001, 0.01, 0.1, 1]}
model = YourModel()

# 创建GridSearchCV对象
grid_search = GridSearchCV(model, param_grid, cv=5)

# 执行网格搜索
grid_search.fit(X, y)

# 获取参数和得分
params = grid_search.cv_results_['params']
scores = grid_search.cv_results_['mean_test_score']

# 绘制结果
plt.figure(figsize=(10, 6))
for i, param in enumerate(params):
    x = np.log10(param['C'])
    y = np.log10(param['gamma'])
    score = scores[i]
    plt.scatter(x, y, c=score, cmap='viridis', s=100, alpha=0.8)

plt.colorbar(label='Mean Test Score')
plt.xlabel('log(C)')
plt.ylabel('log(gamma)')
plt.title('GridSearchCV Results')
plt.grid(True)
plt.show()