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.
यह अभ्यास पाठ्यक्रम का हिस्सा है
Introduction to Natural Language Processing in R
अभ्यास निर्देश
- 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?
इंटरैक्टिव व्यावहारिक अभ्यास
इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।
# Percentage correctly labeled "Left"
left <- (___) / (350 + 157)
left
# Percentage correctly labeled "Right"
right <- (___) / (___ + ___)
right
# Overall Accuracy:
accuracy <- (___ + ___) / (___ + ___ + ___ + ___)
accuracy