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37012bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | # Class Imbalance Evaluation Protocol
The Clarus benchmark includes datasets with varying class distributions.
These datasets test whether models rely on prevalence rather than stability reasoning.
## Imbalance Regimes
### Balanced
50% stable
50% unstable
### Mild Imbalance
70% stable
30% unstable
### Severe Imbalance
90% stable
10% unstable
### Extreme Imbalance
99% stable
1% unstable
## Purpose
These datasets evaluate model robustness when instability events are rare.
This reflects real-world systems where collapse events are infrequent.
## Evaluation
The prediction task remains unchanged.
Performance should be evaluated using:
- precision
- recall
- F1 score
Accuracy alone is insufficient for highly imbalanced datasets. |