Learn Before
What is the denominator used when calculating Precision?
Question: In one to three sentences, identify what set of items belongs in the denominator when calculating precision for a spam classifier.
Sample answer: The denominator is the total number of messages the classifier predicted as spam, whether those predictions were correct or not.
Key points:
- Denominator is messages predicted as spam by the classifier
- Not all messages being evaluated
- Includes both true positives and false positives
Rubric: Full credit for identifying the denominator as all messages predicted as spam by the classifier, not all messages in the dataset.
0
1
Tags
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
Precision and Recall Usually Compete
What does precision mean for a spam filter?
True or False: Precision is determined only from the examples a classifier predicts as positive.
Precision is the fraction of predicted positives that _____.
Match each term to its description related to precision.
Order the steps to calculate precision for an image classifier.
Explain why precision alone can be misleading for a model that flags damaged packages.
Compute a classifier’s precision on a validation set.
What is the denominator used when calculating Precision?
Which situation describes low precision for a spam filter?
True or False: Precision Is Computed on the Training Set