Table 1. The confusion matrix of classification results using the 5-fold cross-validation of the CNN algorithm.
Target class | Sum by row | ||||
---|---|---|---|---|---|
Insertion | Withdrawal | Stop | |||
Output class | Insertion | 116,437 | 1,533 | 1,379 | 119,349 |
Withdrawal | 1,586 | 107,336 | 1,757 | 110,679 | |
Stop | 3,484 | 4,603 | 90,812 | 98,899 | |
Sum by column | 121,507 | 113,472 | 93,948 | 328,927 |