๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ
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ํ•˜์ดํผํŒŒ๋ผ๋ฏธํ„ฐํŠœ๋‹

10/11 ํ™” 1. ๋จธ์‹ ๋Ÿฌ๋‹ ์ž‘์—… ์ˆœ์„œ ๋ฐ ํ•™์Šต ๋ฐฉ๋ฒ• ๋ณ„ ๋Œ€ํ‘œ์ ์ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜๋“ค 2. GridSearchCV ๊ต์ฐจ ๊ฒ€์ฆ๊ณผ ์ตœ์  ํ•˜์ดํผ ํŒŒ๋ผ๋ฏธํ„ฐ ํŠœ๋‹์„ ํ•œ ๋ฒˆ์— from sklearn.model_selection import GridSearchCV X_train, X_test, y_train, y_test = train_test_split(iris_data.data, iris_data.target, test_size = 0.2, random_state = 121) dtree = DecisionTreeClassifier() # max_depth = ๊ฒฐ์ • ํŠธ๋ฆฌ์˜ ์ตœ๋Œ€ ๊นŠ์ด, min_samples_splits = ์ž์‹ ๊ทœ์น™ ๋…ธ๋“œ๋ฅผ ๋ถ„ํ• ํ•ด ๋งŒ๋“ค๊ธฐ ์œ„ํ•œ ์ตœ์†Œํ•œ์˜ ์ƒ˜ํ”Œ ๋ฐ์ดํ„ฐ ๊ฐœ์ˆ˜ parameters = {'max_depth':[1,.. ๋”๋ณด๊ธฐ
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ํ‹ฐ์Šคํ† ๋ฆฌํˆด๋ฐ”