Learn Before
Recall (Cat Classifier)
The Recall of a cat classifier is the percentage of all cat images in the dev or test set that it correctly labeled as a cat.
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 (Cat Classifier)
Recall (Cat Classifier)
Combining Precision and Recall into a Single Number
Combining Multiple Metrics via Averaging
Detecting Small Performance Improvements with a Dev Set and Metric
Why should a team use a single-number evaluation metric during model development?
A single-number metric helps a team compare many classifiers efficiently.
A single-number metric gives models a clear preference _____ during development.
Match each development element with its role in evaluating model ideas.
Order the reasoning process for selecting a model with a single-number metric.
Explain how one evaluation number can accelerate a team's development cycle.
Decide how a team should compare a large set of competing classifiers.
What two forms of clarity does a single-number metric provide?
Which comparison method best supports rapid iteration across many candidate models?
A preference ranking can give a development team a direction for progress.
Learn After
What does the Recall of a cat classifier measure?
True or False: Recall is based on the classifier's predicted labels, not the true cat images.
Recall is the percentage of all cat images in the dev or test set that the classifier correctly labeled as a _____.
Match each term to its correct description related to Recall.
Order the steps to compute Recall for a cat classifier on the dev/test set.
Explain why Recall alone only tells part of the story about a cat classifier's performance.
Diagnose why a cat classifier has low Recall despite seeming to perform well overall.
In one to two sentences, define Recall for a cat classifier.
Which set of images forms the basis for calculating Recall?
True or False: A classifier that misses many true cat images will have a lower Recall.