Validating Data Findings Accuracy

Scenario

You have completed an analysis and built a model-backed finding that will be used to drive business decisions. Before sharing the result, you need to confirm that the finding is actually reliable and not an artifact of bad labels, poor metric choice, or a misleading threshold.

Question

How do you validate the accuracy of your data findings?

Problem

Scenario

Question

How do you validate the accuracy of your data findings?

What to Validate

Check label quality and data integrity

Review accuracy alongside precision, recall, and F1

Inspect confusion matrix at the operating threshold

Validate calibration of predicted probabilities

Confirm results on holdout and recent data slices

Problem

Scenario

Question

How do you validate the accuracy of your data findings?

What to Validate

Check label quality and data integrity

Review accuracy alongside precision, recall, and F1

Inspect confusion matrix at the operating threshold

Validate calibration of predicted probabilities

Confirm results on holdout and recent data slices

Problem

Scenario

Question

How do you validate the accuracy of your data findings?

What to Validate

Check label quality and data integrity

Review accuracy alongside precision, recall, and F1

Inspect confusion matrix at the operating threshold

Validate calibration of predicted probabilities

Confirm results on holdout and recent data slices

Interview Guides

Problem

Scenario

Question

What to Validate

Problem

Scenario

Question

What to Validate

Validating Data Findings Accuracy

Problem

Scenario

Question

What to Validate

Problem

Scenario

Question

What to Validate