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from sklearn.datasets import load_iris | |
from sklearn.ensemble import RandomForestClassifier | |
import pandas as pd | |
import numpy as np | |
iris = load_iris() | |
df = pd.DataFrame(iris.data, columns=iris.feature_names) | |
df['is_train'] = np.random.uniform(0, 1, len(df)) <= .75 | |
df['species'] = pd.Categorical.from_codes(iris.target, iris.target_names) | |
df.head() |