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Train/test split
from pandas import read_csv
from sklearn.model_selection import train_test_split
url = ""
features = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age']
label = 'label'
dataframe = read_csv(url, names=features + [label])
X = dataframe[features]
Y = dataframe[label]
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.33, random_state=42)
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