Figure 9
The heatmap is titled “Confusion Matrix”, showing a four-by-four grid of values. The horizontal axis is labeled “Predicted” and includes class labels 0, 1, 2, and 3. The vertical axis is labeled “True” and includes class labels 0, 1, 2, and 3. Each cell contains a numeric value representing the count of predictions for each true class. In the first row for true class 0, the values are 38 under predicted 0, 1 under predicted 1, 0 under predicted 2, and 1 under predicted 3. In the second row for true class 1, the values are 2 under predicted 0, 38 under predicted 1, 0 under predicted 2, and 0 under predicted 3. In the third row for true class 2, the values are 0 under predicted 0, 0 under predicted 1, 40 under predicted 2, and 0 under predicted 3. In the fourth row for true class 3, the values are 0 under predicted 0, 2 under predicted 1, 0 under predicted 2, and 39 under predicted 3. The diagonal cells contain the highest values, indicating correct classifications, while the off-diagonal cells contain small values representing misclassifications.Confusion matrix result. Source(s): Figure created by authors