## Heatmap: Performance Comparison
### Overview
The heatmap illustrates the performance comparison between two strategies, Self-Rewarding Wins (SRW) and SFT Baseline Wins, across three different metrics: M1, M2, and M3. The metrics are compared against a baseline strategy, SFT Baseline.
### Components/Axes
- **X-axis**: Represents the different metrics (M1, M2, M3).
- **Y-axis**: Represents the different strategies (SRW, SFT Baseline).
- **Color Legend**:
- Green: Self-Rewarding Wins
- Blue: Tie
- Red: SFT Baseline Wins
### Detailed Analysis
- **M1**:
- SRW: 50.4%
- SFT Baseline: 32.8%
- Tie: 16.8%
- **M2**:
- SRW: 46.5%
- SFT Baseline: 34.8%
- Tie: 18.8%
- **M3**:
- SRW: 50.4%
- SFT Baseline: 32.8%
- Tie: 16.8%
### Key Observations
- **SRW consistently outperforms SFT Baseline** across all metrics.
- **Tie rates are relatively low**, indicating that SRW and SFT Baseline are generally competitive.
- **M3 shows the highest performance** for SRW, suggesting that it is the most effective strategy in this metric.
### Interpretation
The data suggests that the Self-Rewarding Wins strategy is superior to the SFT Baseline Wins strategy across all three metrics. The high performance of SRW in M3 indicates that it may be particularly effective in this specific context. The low tie rates suggest that SRW and SFT Baseline are generally competitive, but SRW consistently outperforms SFT Baseline. This could imply that SRW is more effective in incentivizing better performance, as it rewards players for achieving higher metrics.