Problema al crear archivo CSV en Python

# Import 'tree' from scikit-learn library
from sklearn import tree

# Load the train dataset
train_url = "http://s3.amazonaws.com/assets.datacamp.com/course/Kaggle/train.csv"
train = pd.read_csv(train_url)

# Convert the male and female groups to integer form
train["Sex"][train["Sex"] == "male"] = 0
train["Sex"][train["Sex"] == "female"] = 1

# Fill the gaps in the Embarked variable
train["Embarked"] = train["Embarked"].fillna("S")

# Fill the gaps in the Age variable
train["Age"] = train["Age"].fillna(train["Age"].median())

# Convert the Embarked classes to integer form
train["Embarked"][train["Embarked"] == "S"] = 0
train["Embarked"][train["Embarked"] == "C"] = 1
train["Embarked"][train["Embarked"] == "Q"] = 2

# Create the target and features 
target = train["Survived"].values
features_one = train[["Pclass", "Sex", "Age", "Fare"]].values

# Fit your first decision tree: my_tree_one
my_tree_one = tree.DecisionTreeClassifier()
my_tree_one = my_tree_one.fit(features_one, target)

# Load the train dataset
test_url = "http://s3.amazonaws.com/assets.datacamp.com/course/Kaggle/test.csv"
test = pd.read_csv(test_url)

# Impute the missing value with the median
test.Fare[152] = test["Fare"].median()

# Convert the male and female groups to integer form
test["Sex"][test["Sex"] == "male"] = 0
test["Sex"][test["Sex"] == "female"] = 1

# Fill the gaps in the Embarked variable
test["Embarked"] = test["Embarked"].fillna("S")

# Fill the gaps in the Age variable
test["Age"] = test["Age"].fillna(test["Age"].median())

# Convert the Embarked classes to integer form
test["Embarked"][test["Embarked"] == "S"] = 0
test["Embarked"][test["Embarked"] == "C"] = 1
test["Embarked"][test["Embarked"] == "Q"] = 2

# Extract the features from the test set: Pclass, Sex, Age, and Fare.
test_features = test[["Pclass", "Sex", "Age", "Fare"]].values

# Make a prediction using the test set
my_prediction = my_tree_one.predict(test_features)

# Create a data frame with two columns: PassengerId & Survived. Survived contains your predictions
PassengerId = np.array(test["PassengerId"]).astype(int)
my_solution = pd.DataFrame(my_prediction, PassengerId)

# Write your solution to a csv file with the name my_solution.csv
my_solution.to_csv("5.csv", index_label = ["PassangerId", "Survived"])