GA_for_Feature_Selection:使用遗传算法结合决策树做特征选择Using genetic algorithm for feature selection with decision tree

【文件属性】：

文件名称：GA_for_Feature_Selection:使用遗传算法结合决策树做特征选择Using genetic algorithm for feature selection with decision tree

文件大小：2KB

文件格式：ZIP

更新时间：2024-05-31 14:11:18

GA_for_Feature_Selection 使用遗传算法结合决策树做特征选择 Using genetic algorithm for feature selection with decision tree 原始遗传算法参考 import numpy as np import pandas as pd import random data_train = pd.read_csv('\data_train.csv') data_test = pd.read_csv('\data_test.csv') #合并训练集测试集 data = data_train.append(data_test).drop(['id'], axis=1) feature_names = data.columns pop_size = 20 # 种群数量 max_value = 10 #

【文件预览】：
GA_for_Feature_Selection-master
----README.md(5KB)