Table 2 Training size when accuracy and F1-socre are reached up to 1.000 and index value when training size is 80% of total data size in the case that these index does not reach 1.000. Ac, F1, and ts represent the accuracy, F1-score, and training size, respectively
From: Performance of quantum kernel on initial learning process
Kernel | Heart disease | Iris_2 | Wine | Iris_3 |
|---|---|---|---|---|
Classic | Ac:0.825, F1:0.825 (ts = 240) | Ac:0.750, F1:0.667 (ts = 80) | Ac:0.971, F1:0.971 (ts = 144) | Ac:1.000, F1:1.000 (ts = 110) |
Y | Ac:0.857, F1:0.857 (ts = 240) | Ac:1.000, F1:1.000 (ts = 75) | Ac:1.000, F1:1.000 (ts = 144) | Ac:1.000, F1:1.000 (ts = 110) |
Z | Ac:0.857, F1:0.825 (ts = 240) | Ac:1.000, F1:1.000 (ts = 60) | Ac:1.000, F1:1.000 (ts = 144) | Ac:1.000, F1:1.000 (ts = 80) |