FAQ: K-Nearest Neighbor Regressor - Regression

This community-built FAQ covers the “Regression” exercise from the lesson “K-Nearest Neighbor Regressor”.

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This exercise can be found in the following Codecademy content:

Get Started with Machine Learning
Data Science

FAQs on the exercise Regression

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First instructions ask me to print movie_dataset[“Life of Pi”]. So in script.py I add: print(movie_dataset[“Life of Pi”])
-but I keep getting an error saying:
Print movie_dataset["Life of Pi"].
The only way for me to continue is to press ‘get solution’ which I don’t necessarily want to do.

I also assigned movie_dataset[“Life of Pi”] to the variable life_of_pie and then did print(life_of_pie) but still get the same error

You need to print at the beginning of your code rather than adding it to the end.

Am I the only one that got stuck at the last request for the result being 6.85999999 instead of 6.86?

1 Like

same problem here. Used return 6.86 inside predict as a workaround to get my solution accepted by codecademy. 6.85999999 is basically the same as 6.86.

1 Like

Same issue here. I ended up using round() to get to two decimal places:

print(round(predict([0.016,0.300,1.022], movie_dataset, movie_ratings, 5),2))


How can I get the movie dataset as in the Codecademy platform?

I don’t understand how to define the title in “dataset[title]” here? as the dataset is type of dict.

def predict(unknown, dataset, movie_ratings, k):
distances =
#Looping through all points in the dataset
for title in dataset:
movie = dataset[title]