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랜덤포레스트 from sklearn.ensemble import RandomForestClassifier model = RandomForestClassifier(max_depth=10, n_estimators=100) 랜덤포레스트 # n_estimators=int, default=100 # criterion={“gini”, “entropy”}, default=”gini” # min_samples_split={int, float} ,default=2 # min_samples_leaf={int, float}, default=1 # min_weight_fraction_leaf=float, default=0.0 # max_depth=int, default=None # max_features={“auto”, “s..