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Frequence to Frequency

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terrytangyuan
2015-11-20 20:25:29 -06:00
parent 77fab79d83
commit 51ee382517
4 changed files with 5 additions and 5 deletions
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4
R-package/vignettes/discoverYourData.Rmd
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@@ -202,7 +202,7 @@ head(importance)
`Cover` measures the relative quantity of observations concerned by a feature.
`Frequence` is a simpler way to measure the `Gain`. It just counts the number of times a feature is used in all generated trees. You should not use it (unless you know why you want to use it).
`Frequency` is a simpler way to measure the `Gain`. It just counts the number of times a feature is used in all generated trees. You should not use it (unless you know why you want to use it).
### Improvement in the interpretability of feature importance data.table
@@ -216,7 +216,7 @@ For that purpose we will execute the same function as above but using two more p
importanceRaw <- xgb.importance(sparse_matrix@Dimnames[[2]], model = bst, data = sparse_matrix, label = output_vector)
# Cleaning for better display
importanceClean <- importanceRaw[,`:=`(Cover=NULL, Frequence=NULL)]
importanceClean <- importanceRaw[,`:=`(Cover=NULL, Frequency=NULL)]
head(importanceClean)
```