Learn Before
If your goal is to have “human-level performance” be a proxy (or estimate) for Bayes error, how would you define “human-level performance”?
You ask a few people to label the dataset to find out what is human-level performance. You find the following levels of accuracy:
- Expert #1: 0.3% error
- Expert #2: 0.5% error
- Normal Person #1 (not an expert): 1.0% error
- Normal Person #2 (not an expert): 1.2% error
0
2
Contributors are:
Who are from:
Tags
Data Science
Machine Learning Yearning @ DeepLearning.AI
Dive into Deep Learning @ D2L
Deep Learning
Machine Learning
Supervised Learning
Related
Human Level Proxy for Bayes Error
If your goal is to have “human-level performance” be a proxy (or estimate) for Bayes error, how would you define “human-level performance”?
Human Level Performance: Based on the evidence below, which two of the following four options seem the most promising to try?
Which of the following statements about algorithmic performance do you agree with?
Bayes Error Rate for (Naive) Bayes Classifier
Human Level Performance
If your goal is to have “human-level performance” be a proxy (or estimate) for Bayes error, how would you define “human-level performance”?
Human Level Proxy for Bayes Error
Which of the following statements about algorithmic performance do you agree with?
Bayes Calssifier and Bayes Error Rate
Avoidable bias