| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| xgboost with categorical features | 0.57 | 0.3 | 1096 | 72 | 33 |
| xgboost | 1.98 | 0.7 | 1129 | 88 | 7 |
| with | 0.61 | 1 | 5907 | 83 | 4 |
| categorical | 1.62 | 0.2 | 3121 | 65 | 11 |
| features | 1.31 | 0.6 | 1617 | 14 | 8 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| xgboost with categorical features | 0.05 | 0.4 | 8771 | 38 |
| xgboost regression with categorical features | 1.13 | 0.3 | 533 | 41 |
| xgboost categorical features r | 0.17 | 0.1 | 4684 | 66 |
| xgboost enable_categorical | 0.31 | 0.8 | 4867 | 70 |
| can xgboost handle categorical variables | 0.61 | 0.6 | 6976 | 52 |
| feature selection using xgboost | 0.62 | 0.5 | 5744 | 83 |
| xgboost for feature selection | 1.63 | 0.9 | 2743 | 62 |
| xgboost model feature importance | 1.6 | 0.8 | 9995 | 70 |
| is xgboost a model | 1.92 | 0.6 | 2467 | 54 |
| xgboost feature_importances | 0.6 | 0.1 | 3276 | 73 |
| feature importance using xgboost | 0.88 | 0.3 | 789 | 2 |
| what type of model is xgboost | 1.79 | 1 | 8095 | 70 |
| xgboost importance_type | 0.44 | 0.9 | 8782 | 31 |
| xgboost feature importance gain | 0.96 | 0.3 | 6485 | 68 |
| how to implement xgboost | 1.05 | 0.6 | 5171 | 27 |
| xgboost feature importance interpretation | 0.18 | 0.9 | 1847 | 53 |
| simple explanation of xgboost | 0.23 | 0.9 | 7918 | 39 |
| is xgboost a framework | 1.62 | 0.3 | 2223 | 88 |
| xgboost for text classification | 0.89 | 0.5 | 1146 | 80 |
| xgboost how to use | 0.31 | 0.3 | 6072 | 90 |
| xgboost explained step by step | 1.09 | 0.5 | 888 | 41 |
