| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| model.evaluate x_test y_test | 0.2 | 0.3 | 4404 | 78 | 28 |
| model.evaluate | 1.67 | 0.1 | 62 | 38 | 14 |
| x_test | 0.75 | 0.9 | 1100 | 3 | 6 |
| y_test | 1.58 | 0.6 | 8557 | 5 | 6 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| model.evaluate x_test y_test | 0.81 | 0.8 | 9687 | 80 |
| model.evaluate x_test y_test verbose 2 | 1.04 | 0.1 | 4604 | 77 |
| model.evaluate x_test y_test verbose 0 | 0.91 | 0.5 | 682 | 26 |
| model.evaluate x_test y_test verbose 1 | 1.63 | 0.5 | 260 | 13 |
| model.evaluate x_test y_test batch_size 32 | 0.39 | 0.5 | 3554 | 19 |
| model.evaluate x_test y_test batch_size 1 | 0.95 | 0.1 | 5496 | 38 |
| loss accuracy model.evaluate x_test y_test | 0.15 | 0.2 | 3655 | 48 |
| score model.evaluate x_test y_test verbose 0 | 1.54 | 0.9 | 681 | 26 |
| scores model.evaluate x_test y_test verbose 0 | 0.36 | 0.5 | 2872 | 60 |
