Основні поняття
QSVM demonstrates superior performance in prostate cancer detection, offering enhanced sensitivity and F1-Score compared to classical SVM.
Анотація
Introduction to the urgent need for improved prostate cancer detection methods.
Comparison between Quantum Support Vector Machine (QSVM) and classical Support Vector Machine (SVM).
Explanation of QSVM's quantum feature map architecture and its advantages.
Detailed methodology of evaluating QSVM in prostate cancer detection.
Performance metrics comparison between QSVM and SVM on training and testing datasets.
Analysis of kernel matrices for both models and their implications.
Discussion on the findings, including overfitting tendencies observed in QSVM.
Conclusion highlighting the potential benefits of using QSVM in prostate cancer detection.
Статистика
QSVMは感度とF1スコアでクラシカルSVMを上回る:93.33%のF1スコアを達成。
QSVMはトレーニングデータで100%の精度を示す。