\n ## Heatmap: Classification Accuracies ### Overview This image presents a heatmap displaying classification accuracies for four different models (TTPD, LR, CCS, MM) across ten different categories and their negations. The color intensity represents the accuracy, ranging from 0.0 (dark blue) to 1.0 (yellow). The heatmap is organized with categories listed vertically on the left and models horizontally across the top. Each cell contains the accuracy value, presented as mean ± standard deviation. ### Components/Axes * **Vertical Axis (Categories):** * cities * neg\_cities * sp\_en\_trans * neg\_sp\_en\_trans * inventors * neg\_inventors * animal\_class * neg\_animal\_class * element\_symb * neg\_element\_symb * facts * neg\_facts * **Horizontal Axis (Models):** * TTPD * LR * CCS * MM