Interpretable Machine Learning On Cub 200
Metrics
Top 1 Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Top 1 Accuracy |
|---|---|
| q-senn-quantized-self-explaining-neural | 85.9 |
| take-5-interpretable-image-classification | 85.7 |