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Confusion matrices

You have just finished creating a classification model. This model predicts whether tweets were created by a left-leaning (democrat) or right-leaning (republican) tweet bot. You have made predictions on the test data and have the following result:

Predictions Left Right
Left 350 157
Right 57 436

Use the confusion matrix above to answer questions about the models accuracy.

This exercise is part of the course

Introduction to Natural Language Processing in R

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Exercise instructions

  • What percentage of tweets did you successfully label as Left?
  • What percentage of tweets did you successfully label as Right?
  • What percentage of tweets did you successfully label?

Hands-on interactive exercise

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

# Percentage correctly labeled "Left"
left <- (___) / (350 + 157)
left

# Percentage correctly labeled "Right"
right <- (___) / (___ + ___)
right

# Overall Accuracy:
accuracy <- (___ + ___) / (___ + ___ + ___ + ___)
accuracy
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