Learn Before
In one or two sentences, define what an optimizing metric is.
Question: Based on the source, briefly define an optimizing metric and state which metric served this role in the classifier example.
Sample answer: An optimizing metric is the metric you maximize after satisficing metric criteria have already been set. In the classifier example, accuracy is the optimizing metric, maximized subject to the classifier meeting the running time criteria.
Key points:
- Optimizing metric is maximized, not just thresholded
- It is defined after satisficing criteria are set
- Accuracy is the optimizing metric in the classifier example
Rubric: Full credit mentions that the optimizing metric is maximized after satisficing criteria are set and correctly names accuracy as the example. Partial credit for a vague or incomplete definition.
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
In the classifier example, what is the optimizing metric?
True or False: An optimizing metric is selected before any satisficing thresholds are set.
In the classifier example, you maximize _____ subject to meeting the running time criteria.
Match each metric role to its treatment in the classifier example.
Order the steps for determining the optimizing metric in the classifier example.
Explain why accuracy functions as an optimizing metric rather than a satisficing metric in this example.
Decide which metric to designate as the optimizing metric for a new classifier.
In one or two sentences, define what an optimizing metric is.
Which statement correctly describes when a metric becomes the optimizing metric?
True or False: In the source's example, running time is maximized while accuracy only needs to meet a threshold.