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📊 FlashDigitizer Benchmark Report
Chart data extraction accuracy — seed 42
Methodology
• Two synthetic benchmark charts: bar with error bars and scatter/line
• Gold standard values generated with NumPy seed 42
• Metric: Mean Absolute Percentage Error (APE) for data point means and error bars
• Two synthetic benchmark charts: bar with error bars and scatter/line
• Gold standard values generated with NumPy seed 42
• Metric: Mean Absolute Percentage Error (APE) for data point means and error bars
Test Chart 1 — Bar with Error Bars
(Synthetic Treatment Response)
Test Chart 2 — Scatter / Line
(Synthetic Dose Response)
| Metric | Improved Quality | Standard Quality |
|---|---|---|
| Data Point Means — Bar Chart | ||
| Mean APE | 0.43% | 0.79% |
| Median APE | 0.27% | 0.55% |
| Max APE | 1.29% | 1.93% |
| R² (1:1 line) | 0.9998 | 0.9990 |
| MAE | 0.075 | 0.155 |
| Error Bars — Bar Chart | ||
| Mean APE | 4.35% | 8.20% (1.9× higher) |
| Median APE | 2.18% | 4.94% |
| Max APE | 11.59% | 20.00% |
| Data Point Means — Scatter / Line | ||
| Mean APE | 0.40% | 0.43% |
| Median APE | 0.16% | 0.26% |
| Max APE | 1.58% | 1.06% |
| R² (1:1 line) | 0.9999 | 0.9998 |
| MAE | 0.050 | 0.067 |
| Overall | ||
| Points matched | 6/6 both charts | 6/6 both charts |
Gold Standard vs Extracted Values (1:1 Line)
Mean APE by Quality Mode and Chart Type
Key finding: Both modes correctly identify all data points (6/6, R² ≥ 0.999).
Improved Quality is ~2× more accurate for error bars (4.35% vs 8.20% APE) — recommended when precise error bar values are critical.
Standard Quality is virtually identical for mean values and scatter data, at ~90% lower cost.