Efficient Pairwise Difference Learning: A Comparative Study of Encoding Strategies and Training Pair Selection
Experiments across nearly 200 benchmark classification datasets using Decision Tree, Multilayer Perceptron, Gaussian Naive Bayes, and Support Vector Classifier as base models reveal that the proposed triplet with absolute difference encoder achieves the highest average F1 scores.
Bernard Georges, Mohamed Karim Belaid, Manuel Rodrigues
· WorldCIST · 0 citations