| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| feature importance python code | 1.57 | 0.4 | 6052 | 6 | 30 |
| feature | 1.59 | 1 | 5106 | 4 | 7 |
| importance | 0.77 | 0.6 | 6564 | 97 | 10 |
| python | 1.72 | 0.4 | 72 | 13 | 6 |
| code | 1.56 | 0.1 | 7173 | 40 | 4 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| feature importance python code | 1.38 | 0.6 | 2978 | 95 |
| feature importance python | 1.57 | 0.4 | 6513 | 87 |
| feature importance python sklearn | 1.99 | 1 | 5075 | 74 |
| feature importance python random forest | 0.07 | 0.1 | 3585 | 58 |
| feature importance python logistic regression | 2 | 0.8 | 5920 | 19 |
| random forest feature importance python code | 1.59 | 0.3 | 8586 | 32 |
| shap feature importance python | 1.96 | 0.9 | 6851 | 2 |
| xgboost feature importance python | 1.35 | 0.5 | 7076 | 4 |
| feature importance linear regression python | 1.48 | 0.5 | 8023 | 26 |
| how to find feature importance in python | 1.8 | 0.5 | 8692 | 2 |
