Examples Can Belong to Multiple Error Categories

Discovering New Error Categories While Reviewing Examples

Most Helpful Error Categories Are Ones You Have Ideas to Improve

Error Analysis Is an Iterative Process

Error Category Frequency Helps Indicate Which Categories to Focus On

Pursuing Multiple Error Categories in Parallel

Error Analysis Does Not Yield a Rigid Priority Formula

Error Category Fraction as a Ceiling on Possible Error Reduction

Error Analysis as a Quantitative Basis for Project Investment Decisions

Engineer Reluctance to Perform Error Analysis Despite Its Low Time Cost

Mislabeled Examples in the Dev Set

Splitting a Large Dev Set into a Manually Examined Subset and a Hands-Off Subset

Build a Basic System Quickly and Iterate Using Error Analysis

Training Set Error Analysis for High Bias

Manually Reviewing 100 Speech Recognition Dev Set Examples

Debugging Inference Algorithms

Error Analysis by Parts

Error Analysis as Data Science for ML Mistakes

No Single Right Way to Perform Error Analysis

Human-Solvable Problems Enable More Powerful Error Analysis Tools

What does error analysis primarily examine to understand an ML system's mistakes?

There is exactly one correct method for conducting error analysis on an ML system.

The process of looking at misclassified examples to understand error causes is called _____.

Match each error analysis concept to its correct description from Machine Learning Yearning.

Order the steps of conducting a basic error analysis on a dev set as described in Machine Learning Yearning.

What is the primary goal of reviewing misclassified examples during error analysis, even in categories you cannot yet fix?

Machine Learning Yearning describes error analysis as an iterative process.

Error analysis can often help you figure out how _____ different improvement directions are.

Match each error analysis activity to the benefit it provides according to Machine Learning Yearning.

Order the reasoning steps for deciding which error categories to pursue after completing an initial error analysis.

Explain the strategic value of conducting error analysis beyond just fixing known issues.

Decide on the next steps for a computer vision team reviewing a misclassified dev set.

Define the core process and primary purpose of error analysis in machine learning.