Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
modeling tabular data using conditional gan | 1.98 | 0.3 | 450 | 67 | 43 |
modeling | 1.3 | 0.2 | 9522 | 47 | 8 |
tabular | 1.54 | 0.8 | 9808 | 5 | 7 |
data | 1.27 | 0.3 | 4081 | 52 | 4 |
using | 1.71 | 1 | 7996 | 35 | 5 |
conditional | 0.42 | 0.5 | 4075 | 14 | 11 |
gan | 0.21 | 0.1 | 1445 | 1 | 3 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
modeling tabular data using conditional gan | 0.5 | 0.4 | 1954 | 1 |
gan to model tabular data | 1.62 | 0.6 | 5053 | 50 |
gan for tabular data | 0.55 | 1 | 5874 | 45 |
synthetic tabular data generation using gan | 1.17 | 0.3 | 2526 | 69 |
class-conditional gan | 1.55 | 1 | 9227 | 40 |
gan vs conditional gan | 1.14 | 0.9 | 1436 | 23 |
what is conditional gan | 0.54 | 1 | 3818 | 57 |
conditional generation by gan | 1.96 | 0.6 | 3846 | 2 |
regression with conditional gan | 0.42 | 0.9 | 9380 | 82 |
conditional gan for small datasets github | 1.85 | 0.3 | 495 | 54 |
generating synthetic tabular data with gans | 1.11 | 0.5 | 2016 | 24 |
gan in ml for tabular data github | 0.36 | 0.9 | 9560 | 69 |
text-conditional gan | 0.72 | 0.9 | 2539 | 99 |
gans for tabular synthetic data generation | 1.81 | 0.8 | 7681 | 41 |
conditional gan loss function | 0.07 | 0.7 | 4977 | 73 |
context-conditional gan | 1.86 | 0.3 | 1891 | 88 |