Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
the svm's are less effective when | 0.68 | 0.1 | 6152 | 29 |
the effectiveness of an svm depends upon | 1.92 | 1 | 568 | 79 |
svm is efficient on | 0.06 | 0.5 | 9516 | 72 |
for svm it is good to have | 0.93 | 0.4 | 1496 | 49 |
advantages of svm are | 0.73 | 0.5 | 4690 | 82 |
why does svm take so long | 0.28 | 0.9 | 2894 | 63 |
when to use svm | 1.44 | 0.9 | 9127 | 55 |
state advantages and disadvantages of svm | 1.15 | 0.9 | 7697 | 38 |
why svm is best for classification | 0.36 | 0.2 | 2452 | 40 |
svm taking too long | 0.78 | 0.2 | 1013 | 15 |
advantages and disadvantages of svm | 1.38 | 0.3 | 5513 | 26 |
why svm is better than other classifiers | 1.28 | 0.6 | 415 | 1 |
is svm good for regression | 1 | 0.9 | 2565 | 91 |
what is svm how does it work | 1.59 | 0.6 | 6551 | 8 |
advantages of svm algorithm | 0.86 | 0.3 | 9592 | 66 |
svm is supervised or unsupervised | 0.33 | 0.5 | 8326 | 9 |
loss function of svm | 1.26 | 0.6 | 3483 | 59 |
how to improve svm accuracy | 1.97 | 0.1 | 2938 | 88 |
how to optimize svm | 0.7 | 0.2 | 7375 | 46 |