python实现随机森林预测算法——以预测房价为例

参考博文：​​​​​python随机森林回归数据实战_随机森林回归参数-优快云博客

用Python实现随机森林回归_逐步回归分析可以用随机森林拟合么-优快云博客

使用的包，最后一列是用于指定graphviz的路径的，根据不同的情况修改

import sklearn.datasets as datasets
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.ensemble import RandomForestRegressor
from sklearn.decomposition import PCA
import numpy as np
import os
import matplotlib.pyplot as plt
os.environ["PATH"]+=os.pathsep+'C:/Program Files (x86)/Graphviz2.38/bin/'

模型部分：

#利用随机森林进行训练
forest = RandomForestRegressor(
    n_estimators=3000,
    random_state=1,
    n_jobs=-1)
forest.