Recognizing a road sign with kNN

After several trips with a human behind the wheel, it is time for the self-driving car to attempt the test course alone.

As it begins to drive away, its camera captures the following image:

Stop Sign

Can you apply a kNN classifier to help the car recognize this sign?

The dataset signs is loaded in your workspace along with the data frame next_sign, which holds the observation you want to classify.

This exercise is part of the course

Supervised Learning in R: Classification

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Exercise instructions

Load the class package.
Create a vector of sign labels to use with kNN by extracting the column sign_type from signs.
Identify the next_sign using the knn() function.
- Set the train argument equal to the signs data frame without the first column.
- Set the test argument equal to the data frame next_sign.
- Use the vector of labels you created as the cl argument.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the 'class' package


# Create a vector of labels
sign_types <- ___

# Classify the next sign observed
knn(train = ___[-1], test = ___, cl = ___)

Edit and Run Code