1. 랜덤 포레스트 데이터 준비import pandas as pdimport numpy as npfrom sklearn.model_selection import train_test_splitwine = pd.read_csv('https://bit.ly/wine_csv_data')data = wine[['alcohol', 'sugar', 'pH']].to_vumpy()target = wine['class'].to_numpy()train_input, test_input, train_target, test_target = train_test_split( data, target, test_size = 0.2, random_state = 42) 랜덤 포레스트를 사용해서 훈련하기from sklearn.mode..
