Fig. 5: Decision tree for defect classification.
From: Feature-based volumetric defect classification in metal additive manufacturing
a & b Schematic illustration of the methodology to generate the decision tree. c Decision tree generated based on the training data achieving an overall accuracy of 98.8% in the test data.
