## Line Chart: 1-day Accuracy (%) vs. Search Time (s)
### Overview
The chart compares the 1-day accuracy of various machine learning model configurations (AnalogNAS, RS, FLASH) against search time on a logarithmic scale. Accuracy is measured in percentage, with search time ranging from 10² to 10⁴ seconds.
### Components/Axes
- **X-axis (Search Time)**: Logarithmic scale (10² to 10⁴ seconds), labeled "Search Time (s)".
- **Y-axis (Accuracy)**: Linear scale (60% to 95%), labeled "1-day Accuracy (%)".
- **Legend**: Located at the bottom-right, with six entries:
1. **AnalogNAS w/ Surrogate and LHS** (brown, star markers)
2. **RS w/ Surrogate** (blue, circle markers)
3. **AnalogNAS w/o Surrogate** (pink, triangle markers)
4. **RS w/o Surrogate** (purple, square markers)
5. **AnalogNAS w/o LHS** (orange, diamond markers)
6. **FLASH [15]** (green, pentagon markers)
### Detailed Analysis
1. **AnalogNAS w/ Surrogate and LHS** (brown):
- Starts at ~65% at 10²s, rises sharply to ~95% by 10³s, then plateaus.
- Highest accuracy across all search times.
2. **RS w/ Surrogate** (blue):
- Begins at ~65% at 10²s, surges to ~90% by 10³s, then stabilizes.
- Second-highest accuracy after AnalogNAS with Surrogate/LHS.
3. **AnalogNAS w/o Surrogate** (pink):
- Starts at ~65% at 10²s, peaks at ~85% by 10³s, then declines slightly.
- Lower accuracy than AnalogNAS with Surrogate/LHS.
4. **RS w/o Surrogate** (purple):
- Flat line at ~60% across all search times.
- Worst-performing configuration.
5. **AnalogNAS w/o LHS** (orange):
- Similar trend to AnalogNAS w/ Surrogate/LHS but ~5% lower accuracy.
- Peaks at ~90% by 10³s.
6. **FLASH [15]** (green):
- Starts at ~70% at 10²s, rises to ~75% by 10⁴s.
- Consistently the lowest accuracy.
### Key Observations
- **Surrogate and LHS** are critical for high accuracy in AnalogNAS and RS.
- **RS w/o Surrogate** performs poorly, suggesting Surrogate is essential for RS.
- **FLASH** lags behind other methods, indicating potential methodological differences.
- All methods plateau at higher search times, suggesting diminishing returns.
### Interpretation
The data demonstrates that **Surrogate and LHS** significantly enhance model accuracy for both AnalogNAS and RS. The absence of Surrogate in RS results in a flat, low-accuracy curve, highlighting its importance. AnalogNAS configurations outperform FLASH, suggesting superior architecture search strategies. The logarithmic x-axis emphasizes that accuracy improvements are most pronounced at lower search times, with diminishing gains at higher times. This implies a trade-off between computational cost and accuracy, with optimal configurations achieving near-peak performance within 10³s.
