| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| the many shapley values for model explanation | 1.51 | 0.8 | 2232 | 43 | 45 |
| the | 0.8 | 1 | 2477 | 51 | 3 |
| many | 1.29 | 0.5 | 6409 | 93 | 4 |
| shapley | 0.24 | 0.7 | 2393 | 46 | 7 |
| values | 0.63 | 0.5 | 7431 | 50 | 6 |
| for | 0.15 | 0.9 | 5812 | 57 | 3 |
| model | 0.35 | 1 | 9703 | 9 | 5 |
| explanation | 0.13 | 0.4 | 5876 | 52 | 11 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| the many shapley values for model explanation | 0.38 | 0.8 | 1714 | 88 |
| introduction to the shapley value | 0.3 | 0.5 | 5080 | 49 |
| what are shapley values | 0.84 | 0.1 | 917 | 3 |
| shapley value regression model | 0.58 | 0.8 | 4172 | 70 |
| shapley values feature importance | 1.5 | 0.7 | 5290 | 40 |
| the potential of the shapley value | 0.58 | 0.4 | 3425 | 53 |
| shapley values for classification | 1.87 | 0.6 | 5453 | 3 |
| shap vs shapley values | 1.08 | 0.2 | 1052 | 91 |
| shapley value feature importance | 1.26 | 0.7 | 3410 | 41 |
| what is a shapley value | 1.53 | 0.1 | 7301 | 2 |
| difference between shap and shapley values | 0.66 | 0.9 | 1231 | 60 |
| shapley values game theory | 0.46 | 0.5 | 3045 | 19 |
| shapley value calculation example | 1.02 | 0.7 | 7551 | 11 |
| shapley value how to calculate | 0.87 | 0.4 | 6603 | 59 |
| shapley additive explanation values | 0.09 | 0.2 | 9657 | 97 |
| on weighted shapley values | 1.84 | 0.4 | 575 | 28 |
| shapley value game theory example | 0.47 | 0.1 | 9167 | 47 |
| shapley values machine learning | 0.43 | 0.6 | 9843 | 57 |
| shapley value marketing attribution | 0.88 | 1 | 8677 | 81 |
