Table 2.
Confusion matrix.
Predicted category | Real category | |
---|---|---|
True head-up rate | True head-down | |
Predicted head-up | TP | FP |
Predicted head-down | FN | TN |
True Positive (TP) The number of positive examples that the model correctly predicts as positive, False Positive (FP) The number of negative examples that the model incorrectly predicts as positive, False Negative (FN) The number of positive examples that the model incorrectly predicts as negative, True Negative (TN) The number of negative examples that the model correctly predicts as negative.