Fig. 9 | Scientific Reports

Fig. 9

From: Convolutional neural network approach for automated well zonation in the Lower Bahariya member north Western Desert Egypt

Fig. 9

Confusion matrices illustrating the classification performance of the CNN model: (a) Training set confusion matrix showing high prediction accuracy across all zone classes with minimal misclassifications, and (b) Testing set confusion matrix demonstrating the model’s generalization ability on unseen data, with overall strong agreement between predicted and true labels.

Back to article page