| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| entropy and information gain | 0.14 | 0.1 | 7322 | 10 | 28 |
| entropy | 0.77 | 0.5 | 8144 | 73 | 7 |
| and | 0.33 | 0.8 | 8824 | 25 | 3 |
| information | 1.6 | 0.1 | 3246 | 12 | 11 |
| gain | 1.82 | 0.9 | 9426 | 23 | 4 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| entropy and information gain | 1.28 | 0.9 | 7424 | 5 |
| entropy and information gain in decision tree | 1.88 | 0.3 | 7060 | 58 |
| entropy and information gain calculator | 0.72 | 0.8 | 3982 | 16 |
| entropy and information gain formula | 1.51 | 0.4 | 7614 | 74 |
| entropy and information gain in data mining | 0.54 | 0.2 | 989 | 97 |
| information gain vs entropy | 0.36 | 0.4 | 9956 | 34 |
| information gain entropy | 0.19 | 0.4 | 5690 | 43 |
| information gain entropy calculator | 1.5 | 1 | 9982 | 4 |
| decision tree entropy information gain | 1.81 | 0.8 | 2182 | 74 |
| entropy in decision tree | 1.2 | 0.6 | 2573 | 14 |
| decision tree using entropy | 1.41 | 0.3 | 3952 | 66 |
| how to calculate entropy in decision tree | 0.08 | 0.3 | 5287 | 69 |
| entropy meaning in decision tree | 0.04 | 0.8 | 9447 | 2 |
| entropy calculation in decision tree | 0.73 | 0.5 | 6679 | 46 |
| define entropy in decision tree | 0.86 | 0.4 | 2616 | 74 |
| build decision tree using entropy | 1.42 | 0.3 | 6163 | 23 |
| construction of decision tree using entropy | 0.3 | 0.9 | 7327 | 48 |
| decision tree algorithm entropy | 1.34 | 0.6 | 6523 | 62 |
