xgboost in R: is it possibel to cross validation (xgb.cv) get the matrix contain with prediction and...
I recently used "xgb.cv" estimate the accuracy of xgboost. I found that the element pred can get the prediction value. I also want to get the corresponding observation value(test data), or a matrix contain with prediction and observation value, however, there was not a useful element or argument to achieve. Did I miss some details? Or is there other ways?
My code:
cv <- xgb.cv(data = x_DMatrix,
max_depth = 3,
nrounds = 10,
nfold = 10,
prediction = TRUE,
metrics = "rmse",
objective ="reg:linear")
cv$evaluation_log # list of evaluation metrics
cv$pred # get the pretiction value
The argument of "xgb.cv":
feval: custimized evaluation function. Returns list(metric='metric-name', value='metric-value') with given prediction and dtrain.
The help documentation is not specified. What is the mean and usage of feval?
I am searching on net but no match answer. Please help or try to give some ideas how to achieve this. Thanks in advance.
r prediction cross-validation xgboost
asked Nov 19 '18 at 9:34
LeeLee
61
add a comment |
I recently used "xgb.cv" estimate the accuracy of xgboost. I found that the element pred can get the prediction value. I also want to get the corresponding observation value(test data), or a matrix contain with prediction and observation value, however, there was not a useful element or argument to achieve. Did I miss some details? Or is there other ways?
My code:
cv <- xgb.cv(data = x_DMatrix,
max_depth = 3,
nrounds = 10,
nfold = 10,
prediction = TRUE,
metrics = "rmse",
objective ="reg:linear")
cv$evaluation_log # list of evaluation metrics
cv$pred # get the pretiction value
The argument of "xgb.cv":
feval: custimized evaluation function. Returns list(metric='metric-name', value='metric-value') with given prediction and dtrain.
The help documentation is not specified. What is the mean and usage of feval?
I am searching on net but no match answer. Please help or try to give some ideas how to achieve this. Thanks in advance.
r prediction cross-validation xgboost
asked Nov 19 '18 at 9:34
LeeLee
61
stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13
add a comment |
I recently used "xgb.cv" estimate the accuracy of xgboost. I found that the element pred can get the prediction value. I also want to get the corresponding observation value(test data), or a matrix contain with prediction and observation value, however, there was not a useful element or argument to achieve. Did I miss some details? Or is there other ways?
My code:
cv <- xgb.cv(data = x_DMatrix,
max_depth = 3,
nrounds = 10,
nfold = 10,
prediction = TRUE,
metrics = "rmse",
objective ="reg:linear")
cv$evaluation_log # list of evaluation metrics
cv$pred # get the pretiction value
The argument of "xgb.cv":
feval: custimized evaluation function. Returns list(metric='metric-name', value='metric-value') with given prediction and dtrain.
The help documentation is not specified. What is the mean and usage of feval?
I am searching on net but no match answer. Please help or try to give some ideas how to achieve this. Thanks in advance.
r prediction cross-validation xgboost
asked Nov 19 '18 at 9:34
LeeLee
61
I recently used "xgb.cv" estimate the accuracy of xgboost. I found that the element pred can get the prediction value. I also want to get the corresponding observation value(test data), or a matrix contain with prediction and observation value, however, there was not a useful element or argument to achieve. Did I miss some details? Or is there other ways?
My code:
cv <- xgb.cv(data = x_DMatrix,
max_depth = 3,
nrounds = 10,
nfold = 10,
prediction = TRUE,
metrics = "rmse",
objective ="reg:linear")
cv$evaluation_log # list of evaluation metrics
cv$pred # get the pretiction value
The argument of "xgb.cv":
feval: custimized evaluation function. Returns list(metric='metric-name', value='metric-value') with given prediction and dtrain.
The help documentation is not specified. What is the mean and usage of feval?
I am searching on net but no match answer. Please help or try to give some ideas how to achieve this. Thanks in advance.
r prediction cross-validation xgboost
r prediction cross-validation xgboost
asked Nov 19 '18 at 9:34
LeeLee
61
asked Nov 19 '18 at 9:34
LeeLee
61
asked Nov 19 '18 at 9:34
LeeLee
61
asked Nov 19 '18 at 9:34
LeeLee
61
asked Nov 19 '18 at 9:34
LeeLee
61
61
stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13
add a comment |
stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13
stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13
stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13
add a comment |
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stackoverflow.com/questions/40159415/… can help you.
– abhiieor
Nov 19 '18 at 10:13