From my understanding the confusion matrix you obtained is a result of binary classification problem. Also, I am not able to find where you are plotting the confusion matrix in the code provided. I can see from the image that you have obtained four confusion matrices. However, these confusion matrices mean as follows:
- Training Confusion Matrix: This matrix gives the information on the data used during training it will be on the random nine folds.
- Validation Confusion Matrix: Since you are using cross validation technique, the matrix is obtained on the random tenth fold which is used for validation during training.
- Test Confusion Matrix: For each iteration it will give the confusion matrix for the testing data used.
- All Confusion Matrix: For each iteration it will give the combined information of the above three matrices.
