[R] regarding predicted value from xgboost package

[Ranjana Girish]

hai everyone.....

i am using model building  function xgboost() using code :

fit <- xgboost(data =sparse_matrix , label = trainSet$OutputClass,
max.depth = 4,eta = 1, nthread = 2, nround = 10, eval_metric =
"merror",objective = "multi:softmax",num_class = 45)

when i use the prediction function:

Prediction <- predict(fit,sparse_matrixtestSet)

the above code gave output as below( instead of class names its giving
numerical equivalent value eventhough  "*label = trainSet$OutputClass*"
contain class names)

*output:*
[1]  1  1  1  1  1 35  3  3  3  4 31  7  7  7  3  3  9  9  9  9  9  9  9 10
10 11
 [27] 11 11 11 11 11 11 11 11 11 13 13 13 13 13 13 13 13 13 14 14 14 14 14
14 10 10
 [53] 15 15 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16
18 18 18
 [79] 18 18 18 18 35 35 35 18 21 21 21 21 32  1  1 25 25 25 25 26 27 27 27
27 27 27
[105] 27 27 29 29 29 29 29 30 30 30 30 30 30 30 30 30 30 35 35 32 32 32 43
43 32 32
[131] 32 32 32 32 32 32 43 32 32 32 32 32 33

i have also set *stringsAsFactors=FALSE* while reading data set

could some one please help, how to get prediction in term of class name
instead of numerical equivalent value.

Thanks in advance....

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