Table 4 Description of the targeted classes of malaria detection.
From: Automated multi-model framework for malaria detection using deep learning and feature fusion
Case | Description |
|---|---|
True Positive (TP) | The model correctly predicts a sample as âParasitizedâ, and it is actually âParasitizedâ. |
True Negative (TN) | The model correctly predicts a sample as âUninfectedâ, and it is actually âUninfectedâ. |
False Positive (FP) | The model incorrectly predicts a sample as âParasitizedâ, but it is actually âUninfectedâ. |
False Negative (FN) | The model incorrectly predicts a sample as âUninfectedâ, but it is actually âParasitizedâ. |
