## Chart/Diagram Type: Multi-subplot Visualization ### Overview The image contains four subplots (A-D) comparing model performance metrics across four AI models: GPT-120B, Qwen-30B-Q3, GPT-20B, and Qwen-30B. Each subplot uses distinct visualizations (bar charts, line charts) and color-coded legends to represent statistical measures. --- ### Components/Axes #### Subplot (A): Average MSE (with 95% CI) - **Y-axis**: Mean Squared Error (0–5) - **X-axis**: Model names (GPT-120B, Qwen-30B-Q3, GPT-20B, Qwen-30B) - **Legend**: None (colors directly map to models) - **Error Bars**: Vertical lines indicating 95% confidence intervals #### Subplot (B): Average Correlation - **Y-axis**: Correlation Coefficient (-0.15–0.25) - **X-axis**: Model names (same as Subplot A) - **Legend**: - Pearson (green, striped) - Spearman (blue, striped) - **Error Bars**: Smaller vertical lines for confidence intervals #### Subplot (C): Accuracy at Different Thresholds - **X-axis**: Error Threshold (-0.5, 1.0, 1.5) - **Y-axis**: Average Accuracy (%) (0–100) - **Legend**: - GPT-120B (green) - Qwen-30B-Q3 (red) - GPT-20B (blue) - Qwen-30B (orange) - **Lines**: Solid with markers at threshold points #### Subplot (D): Model Success Rate - **Y-axis**: Success Rate (%) (0–100) - **X-axis**: Model names (same as Subplot A) - **Legend**: None (colors match Subplot A) - **Bar Labels**: Success rate percentages (e.g., 96%, 94%) and counts (e.g., 48/50) --- ### Detailed Analysis #### Subplot (A): Average MSE - **Values**: - GPT-120B: 1.42 (±0.25) - Qwen-30B-Q3: 3.79 (±0.85) - GPT-20B: 1.34 (±0.20) - Qwen-30B: 3.44 (±0.75) - **Trend**: Qwen-30B-Q3 has the highest MSE, while GPT-20B has the lowest. #### Subplot (B): Average Correlation - **Pearson**: - GPT-120B: 0.05 (±0.03) - Qwen-30B-Q3: 0.01 (±0.02) - GPT-20B: 0.04 (±0.02) - Qwen-30B: -0.14 (±0.03) - **Spearman**: - GPT-120B: 0.09 (±0.04) - Qwen-30B-Q3: -0.02 (±0.03) - GPT-20B: 0.04 (±0.02) - Qwen-30B: -0.15 (±0.04) - **Trend**: Negative correlations for Qwen-30B in both metrics. #### Subplot (C): Accuracy at Thresholds - **Trends**: - All models improve accuracy as error thresholds increase. - GPT-120B and GPT-20B consistently outperform others. - Qwen-30B-Q3 shows the steepest improvement (18% gain from -0.5 to 1.5). #### Subplot (D): Model Success Rate - **Values**: - GPT-120B: 96% (48/50) - Qwen-30B-Q3: 94% (47/50) - GPT-20B: 84% (42/50) - Qwen-30B: 76% (38/50) - **Trend**: Success rates decrease from GPT-120B to Qwen-30B. --- ### Key Observations 1. **MSE vs. Success Rate**: Models with lower MSE (GPT-120B, GPT-20B) have higher success rates. 2. **Correlation Anomalies**: Qwen-30B shows negative correlations, suggesting potential inverse relationships. 3. **Accuracy Thresholds**: GPT-120B maintains >80% accuracy across all thresholds, while Qwen-30B drops below 60% at 1.5. 4. **Confidence Intervals**: Qwen-30B-Q3 has the widest error bars in MSE, indicating higher uncertainty. --- ### Interpretation - **Model Performance**: GPT-120B and Qwen-30B-Q3 dominate in MSE, correlation, and success rate, suggesting superior robustness. - **Negative Correlations**: Qwen-30B’s negative Spearman/Pearson values may indicate flawed metric alignment or data distribution issues. - **Threshold Sensitivity**: GPT-120B’s consistent accuracy across thresholds implies better generalization, while Qwen-30B struggles with higher errors. - **Success Rate Alignment**: Success rates in (D) directly correlate with MSE and correlation results, reinforcing the reliability of these metrics. This visualization highlights trade-offs between model complexity (e.g., GPT-120B vs. Qwen-30B) and performance, with GPT-based models generally outperforming Qwen variants.