---

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LogisticRegression

X, y = data[features), data["is_male"]

X_tr, X_te, y_tr, y_te = train_test_split(

X, y, test size=0.3, random_state=0, stratify=y)

medians = X_tr.median()

X_tr = X_tr.fillna(medians)

X_te = X_te.fillna (medians)

model = LogisticRegression(max_iter=1000)

model.fit(X_tr, y_tr)

score model.score(X_te, y_te)