S. Lobnig; C. Burmer; K. Schekotihin, "Detection of Failure Analysis Methods with Image Classification", 2022 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA), 2022
This appendix provides additional information about the results of our experiments.
## Experiment 1:
 This is the Confusion Matrix of Experiment 1. The classifier was trained and tested on D<sub>1</sub>. The x-axis shows the prediction and the y-axis shows the actual class.
## Experiment 2:
 This is the Confusion Matrix of Experiment 2. Images of D<sub>2</sub> get classified with the model (from Experiment 1) trained on images of D1. The x-axis shows the predicted class, the y-axis shows the real class.
## Experiment 3:
 This is the Confusion Matrix of Experiment 3. The classifier was trained and tested on D<sub>1</sub> and D<sub>2</sub>. The x-axis shows the prediction and the y-axis shows the actual class.
## Experiment 4:
 This is the Confusion Matrix of Experiment 4. Images of D<sub>3</sub> get classified with the model (from Experiment 3) trained on images of D<sub>1</sub> and D<sub>2</sub>. The x-axis shows the predicted class, the y-axis shows the real class.
## Experiment 5:
 This is the Confusion Matrix of Experiment 5. The classifier was trained and tested on D<sub>1</sub>, D<sub>2</sub> and D<sub>3</sub>. The x-axis shows the prediction and the y-axis shows the actual class.
