随机森林+shap算法进行特征贡献性分析-完整代码数据可直接运行

直接看结果： 

 代码：

import os
import numpy as np
from collections import Counter
import random
import pandas as pd
# 导入必要的库
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
import matplotlib.pyplot as plt
import seaborn as sns
plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] =