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import pandas as pd
import numpy as np
from sklearn.cross_validation import train_test_split

df = pd.read_csv('/Users/nadaa/code/galvanize-assignments/dsi-random-forest/data/playgolf.csv')
y = df.pop('Result').values
X = df.values
X_train, X_test, y_train, y_test = train_test_split(X, y)