Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
sklearn metrics | 1.83 | 0.7 | 8598 | 50 | 15 |
sklearn | 1.22 | 0.7 | 6601 | 28 | 7 |
metrics | 0.72 | 0.7 | 8935 | 5 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
sklearn metrics | 1.23 | 0.5 | 4521 | 75 |
sklearn metrics accuracy | 0.21 | 0.3 | 3410 | 34 |
sklearn metrics confusion matrix | 1.55 | 0.3 | 1996 | 45 |
sklearn metrics f1 score | 0.94 | 0.1 | 6915 | 34 |
sklearn metrics auc | 0.42 | 0.8 | 5397 | 30 |
sklearn metrics rmse | 1.89 | 1 | 2268 | 84 |
sklearn metrics f1_score | 0.99 | 0.4 | 3921 | 98 |
sklearn metrics r2_score | 0.69 | 0.4 | 3331 | 11 |
sklearn metrics precision | 0.9 | 0.4 | 4796 | 58 |
sklearn metrics roc_curve | 1.41 | 0.2 | 2159 | 43 |
sklearn metrics classification report | 1.56 | 0.9 | 1483 | 10 |
sklearn metrics accuracy_score | 1.18 | 0.7 | 1825 | 35 |
sklearn metrics specificity | 1.08 | 0.3 | 4801 | 85 |
sklearn metrics mean squared error | 1.41 | 0.8 | 9164 | 52 |
sklearn metrics precision_score | 0.27 | 0.4 | 9410 | 96 |
sklearn metrics for regression | 1.22 | 0.4 | 8790 | 64 |
sklearn metrics roc curve | 1.87 | 0.7 | 2243 | 1 |
sklearn metrics accuracy score | 0.39 | 0.6 | 5132 | 55 |
sklearn metrics mean absolute error | 0.1 | 1 | 5694 | 89 |
sklearn metrics root mean squared error | 1.26 | 0.1 | 540 | 48 |
sklearn metrics documentation | 0.45 | 0.7 | 6390 | 97 |
from sklearn import metrics | 0.7 | 1 | 6640 | 28 |
sklearn evaluation metrics | 0.74 | 1 | 110 | 43 |
module sklearn has no attribute metrics' | 0.96 | 1 | 1819 | 76 |