Majority Vote, Label Confidence & Expert Review
This lesson is part of the course
In this lesson
You aggregate three annotators' labels by majority vote, count the votes for the winning label, flag the tickets below a confidence threshold and measure the unanimous share.
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Lessons in this course
- Label Distribution, Class Balance & Class Weights Locked
- Percent Agreement vs Cohen's Kappa: the Rare-Label Trap Locked
- Fleiss' Kappa: Agreement with More than Two Annotators Locked
- Majority Vote, Label Confidence & Expert Review Locked
- Gold-Standard (Honeypot) Accuracy & Annotator Flags Locked
- Label Noise: What Wrong Test Labels Do to Measured Accuracy (with a Chart) Locked
- Labelling Cost & Throughput: Hours, Review Overhead & Cost per Item Locked
- Active Learning vs Random Sampling: Labels to Target & Budget Saved (with a Chart) Locked