Learn Before
Relation
Multi-Class Evaluation Metrics
- Macro-average: each class has equal weight.
- Compute metric with each class
- Average resulting metrics across classes
- Micro-average: Each instance has equal weight, largest class has most influence
- Aggregate outcomes across classes
- Compute metric with aggregate outcomes
If want to weight metric towards largest classes → use micro-averaging If you want to weight metric towards smallest classes → use macro-averaging

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Updated 2021-10-03
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Learn After
Micro Average vs Macro average Performance in a Multiclass classification setting
Multi-class Performance Measures
Macro-average
Micro-average
Having three evaluation metrics makes it harder for you to quickly choose between two different algorithms, and will slow down the speed with which your team can iterate. True/False?
OVO (One-Versus-One)
OVA/OVR (One-Versus-All/One-Versus-the-Rest)
Error Correcting Output Codes