PY
py
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import pandas as pd
from sklearn.linear_model import LogisticRegression
model= LogisticRegression()
datapoints = input()
rowvalues = input()
target =input()
testdata= input()
df = pd.DataFrame(rowvalues)
df['Target'] = target
X = df['rowvalues'].values
y = df['Target'].values
model.fit(X,y)
print(model.predict(X,y))
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OUTPUT
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