Table 8 The CQTL model was implemented using Qiskit and evaluated on three datasets.
From: Post-variational classical quantum transfer learning for binary classification
Baseline model comparisons | |||||
|---|---|---|---|---|---|
Dataset | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) | Runtime (s) |
Ants and Bees (Ep:30, Lr:0.004, Bs:4) | 96.73 | 96.79 | 96.73 | 96.73 | \(\approx 15\) |
Cats and Dogs (Ep:10, Lr:0.004, Bs:8) | 98.00 | 97.90 | 98.00 | 98.00 | \(\approx 17\) |
Shirts and Pullover (Ep:10, Lr:0.004, Bs:8) | 95.40 | 95.60 | 95.30 | 95.40 | \(\approx 15\) |
