sklearn 붓꽃 데이터셋 5. 에다 부스트

from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.ensemble import AdaBoostClassifier import pandas as pd iris_data = load_iris() X = pd.DataFrame(iris_data.data, columns = iris_data.feature_names) y = pd.DataFrame(iris_data.target, columns = ['class']) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 5) y_train = y_train.values.ravel() model = AdaBoostClassifier(n_estimators = 100) # stump가 100 model....

원문링크 : sklearn 붓꽃 데이터셋 5. 에다 부스트