패키지 로드 import pandas as pd import numpy as np from sklearn.ensemble import RandomForestRegressor import plotly.express as px from sklearn.datasets import load_boston 데이터 준비 및 적합시키기. data_info = load_boston(return_X_y=False) print(data_info.keys()) # dict_keys(['data', 'target', 'feature_names', 'DESCR', 'filename']) x = pd.DataFrame(data_info["data"], columns = data_info["feature_names"]) y = pd..