Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
evaluation metric keras | 0.31 | 0.5 | 4112 | 17 | 23 |
evaluation | 1.25 | 1 | 1701 | 83 | 10 |
metric | 1.59 | 0.9 | 2694 | 64 | 6 |
keras | 0.33 | 0.8 | 175 | 92 | 5 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
evaluation metrics in keras | 0.86 | 1 | 4990 | 54 |
evaluation metric used in linear regression | 0.36 | 0.4 | 1445 | 7 |
keras model evaluation metrics | 1 | 0.3 | 5274 | 79 |
keras model compile metrics | 0.88 | 0.7 | 6181 | 27 |
keras-metrics | 0.45 | 0.8 | 2235 | 29 |
keras regression accuracy metrics | 0.93 | 1 | 4534 | 40 |
from keras import metrics | 0.34 | 0.6 | 9352 | 96 |
keras sequential model metrics | 0.8 | 0.9 | 2079 | 7 |
keras compile metrics loss | 1.21 | 0.6 | 471 | 9 |
keras metrics f1 score | 1.96 | 0.9 | 5780 | 16 |
model evaluate in keras | 0.53 | 0.5 | 6696 | 76 |
keras add_metric | 0.94 | 0.7 | 8343 | 90 |
keras weighted_metrics | 1.88 | 0.1 | 4520 | 45 |
tf keras weighted metrics | 0.09 | 0.6 | 1774 | 97 |
keras.metrics f1 | 0.63 | 0.3 | 9255 | 11 |
import keras_metrics | 1.82 | 0.4 | 6858 | 79 |
custom accuracy metric keras | 1.29 | 0.5 | 9102 | 65 |
keras model.evaluate | 0.68 | 0.9 | 8566 | 13 |
keras.metrics.accuracy | 0.16 | 0.6 | 6197 | 16 |
keras.api._v2.keras.metrics | 0.73 | 0.2 | 8893 | 75 |
keras.metrics.meansquarederror | 1.89 | 0.2 | 7460 | 17 |