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[Sklearn] 로지스틱 회귀(Logistic Regression)

Logistic Regression # 데이터 준비 import pandas as pd fish = pd.read_csv('http://bit.ly/fish_csv_data') fish.head() z = a*무게 + b*길이 + c*대각선 + d*높이 + e두께 + f from sklearn.model_selection import train_test_split fish_input = fish[['Weight', 'Length', 'Diagonal', 'Height', 'Width']].to_numpy() fish_target = fish['Species'].to_numpy() train_input, test_input, train_target, test_target = train_test_split(..
AI/Machine Learning 2022. 10. 29. 23:32
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