Experimental Results for Quantum (Enhanced) Support Vector Machine (QSVM) on NSL-KDD Dataset
Preface
Experimental Results
- The experimental results...
Note(s):
- For these results, it was used the Quantum Support Vector Classifier (QSVC) from Qiskit library, namely through the Qiskit Machine Learning module. For more information, see the following link:
Footnote(s):
- ¥ - This hyperparameter represents the Pauli Operators Sequences' Combination.
- § - This hyperparameter represents the Quantum Entanglement Structure.
- † - This hyperparameter represents the Number of Quantum Circuit Repetitions.
- ‡ - This hyperparameter represents the Pauli Rotation Factor. This hyperparameter is also denoted by the Greek letter α.
- ¶ - The higher Accuracy values are highlighted in green and the lowest Accuracy values are highlighted in red.
License
Categories:
experimental-results
Tags:
artificial-intelligence, computer-science, quantum-support-vector-machine, support-vector-machine, quantum-machine-learning, machine-learning, supervised-learning, training, classification, iris-dataset, and intermediate