[DACON] 잡케어 추천 알고리즘 Part3
5. Experiment1 : Categorcal / Ordinal Value Simple / Complex Value 로 나눈 후 예측값들로 새로운 DataSet from sklearn.model_selection import KFold, cross_val_score from sklearn.model_selection import GridSearchCV, train_test_split from sklearn.preprocessing import OneHotEncoder, LabelEncoder import pandas as pd complex_lst=[8, 9, 10, 13, 14, 15, 22, 23, 25] x = train.iloc[:, :-1] y = train.iloc[:, -1] x.appl..
