A scatter plot showing training time vs validation accuracy for 8 model variants.
X-axis: Training time (hours), log scale, range 1 to 32.
Y-axis: Validation accuracy (%), range 85 to 97.
Eight data points (each labeled with model name):
- BaseSmall: 1.5h, 88.2%
- BaseMedium: 3.2h, 90.5%
- BaseLarge: 7.5h, 92.7%
- ProSmall: 2.1h, 89.8%
- ProMedium: 4.8h, 92.0%
- ProLarge: 11.0h, 94.5%
- UltraSmall: 3.5h, 91.5%
- UltraLarge: 24.0h, 96.3%
Highlight the Pareto frontier with a connected line through ProSmall, ProLarge, UltraLarge (the time-accuracy efficient set).
Use distinct shapes per model family (Base = circle, Pro = triangle, Ultra = square) and per-family colors.
Style: clean academic scatter, gridlines, log-scale x-axis labeled (1, 2, 4, 8, 16, 32), sans-serif, white background. Place Pareto label inside the figure with a small arrow.