如原始数据集并未划分训练集与测试集，建议在此前进行数据集的划分工作，代码如下：
import pandas as pd
from sklearn.model_selection import train_test_split
# 读取CSV文件
data = pd.read_csv('数据清洗后.csv', encoding='latin1')
# 划分训练集和测试集
train_data, test_data = train_test_split(data, test_size=0.1, random_state=42)
# 将划分后的数据保存为新的CSV文件
train_data.to_csv('train_dataset2.csv', index=False)
test_data.to_csv('test_dataset2.csv', index=False)
其他代码如下:
import pandas as pd
from sklearn.model_selection import train_test_split, cross_val_score
from skle
