In this lab, we compared a classical Support Vector Machine (SVM) with a Quantum SVM (QSVM) on the same dataset.
Classical SVM accuracy: ≈ 0.8475
Quantum SVM accuracy: ≈ 0.8644
Both models performed well, but the QSVM achieved slightly higher accuracy, showing that the quantum kernel can capture data similarities much better than the classical kernel in this experiment, at the cost of greater computational effort.