## Heatmap: Compression Impact on Coding Accuracy
### Overview
The heatmap illustrates the impact of compression on coding accuracy for three different models: REAP, EAN-4.5-21B-A3B-PT, and Qwen3-30B-A3B. The x-axis represents different compression levels (0%, 25%, 50%), and the y-axis shows the coding accuracy percentage.
### Components/Axes
- **Compression Levels**: 0%, 25%, 50%
- **Coding Accuracy (%)**: Y-axis
- **Models**: REAP, EAN-4.5-21B-A3B-PT, Qwen3-30B-A3B
### Detailed Analysis or ### Content Details
- **REAP Model**:
- At 0% compression, accuracy is around 45%.
- At 25% compression, accuracy slightly decreases to about 40%.
- At 50% compression, accuracy drops to approximately 35%.
- **EAN-4.5-21B-A3B-PT Model**:
- At 0% compression, accuracy is around 50%.
- At 25% compression, accuracy slightly decreases to about 45%.
- At 50% compression, accuracy drops to approximately 40%.
- **Qwen3-30B-A3B Model**:
- At 0% compression, accuracy is around 55%.
- At 25% compression, accuracy slightly decreases to about 50%.
- At 50% compression, accuracy drops to approximately 45%.
### Key Observations
- The models show a general trend of decreasing coding accuracy as the compression level increases.
- The EAN-4.5-21B-A3B-PT model has the highest accuracy at 0% compression, followed by Qwen3-30B-A3B and REAP.
- The models exhibit a slight decrease in accuracy at 25% and 50% compression levels.
### Interpretation
The heatmap suggests that compression has a significant impact on coding accuracy across the three models. The EAN-4.5-21B-A3B-PT model appears to be the most resilient to compression, maintaining the highest accuracy even at 50% compression. The REAP model shows the most significant decrease in accuracy with increasing compression levels. This could imply that the REAP model is more sensitive to data loss or compression artifacts compared to the other two models. The data suggests that maintaining a high level of accuracy in coding tasks may require minimizing data compression, especially for models that are more sensitive to data loss.
