Post Lab

Lab Summary: Random Forest vs VQC

In this lab, we compared a classical Random Forest with a Variational Quantum Classifier (VQC) on the same dataset.

• Random Forest accuracy: 0.6600
  
  

• VQC (BCE) accuracy: 0.6700
  
  

Both models reached similar performance, but the VQC achieved a slightly higher accuracy. This suggests that, even though the quantum model is more complex to train, its many-qubit structure can capture patterns in the data at least as well as a classical ensemble of trees, and in this experiment it provided a small performance gain.