| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| explained variance score | 0.8 | 0.4 | 2390 | 67 | 24 |
| explained | 1.1 | 0.1 | 8567 | 10 | 9 |
| variance | 0.68 | 1 | 3561 | 25 | 8 |
| score | 0.51 | 0.2 | 4527 | 91 | 5 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| explained variance score | 0.11 | 0.8 | 289 | 61 |
| explained variance score vs r2 | 0.92 | 0.9 | 4404 | 26 |
| explained variance score formula | 0.81 | 0.9 | 1204 | 97 |
| explained variance score var : | 1.37 | 0.7 | 7508 | 53 |
| explained variance score python | 0.24 | 0.5 | 6588 | 48 |
| explained variance score var | 1.49 | 1 | 815 | 24 |
| explained variance score sklearn | 0.85 | 0.4 | 785 | 13 |
| explained variance regression score | 1.57 | 1 | 9212 | 52 |
| what is explained variance score | 1.71 | 0.9 | 2295 | 36 |
| what is a good explained variance score | 1.96 | 1 | 4852 | 48 |
| percentage of variance explained r2 | 0.01 | 0.5 | 5661 | 11 |
| r2 score vs adjusted r2 score | 0.89 | 1 | 7157 | 23 |
| does r2 overestimate proportion of variance | 0.02 | 0.3 | 5099 | 93 |
| r2 score higher or lower | 0.52 | 0.8 | 4120 | 1 |
| r2 score value range | 1.37 | 0.8 | 3547 | 38 |
| how to calculate r2 score | 1.69 | 0.3 | 1952 | 78 |
| r vs r2 in statistics | 0.11 | 0.4 | 5425 | 81 |
