User Dex Groves

25 votes

XGBoost can handle missing data in the forecasting phase

answered Sep 17, 2016 at 20:02

18 votes

Accepted

Why jitter continuous value in a scatterplot?

answered Dec 23, 2016 at 12:38

13 votes

What are variable importance rankings useful for?

answered Mar 21, 2016 at 15:52

9 votes

Why is cv.glmnet returning absurd coefficients when intercept term is omitted?

answered Oct 31, 2016 at 17:29

8 votes

Accepted

Feature subsampling with gradient boosting

answered Mar 26, 2016 at 9:35

8 votes

Accepted

dropout regularization in gbm

answered Sep 1, 2016 at 14:35

7 votes

New factors levels not present in training data

answered Sep 19, 2016 at 15:24

5 votes

Partial Dependence plot interpretation for Categorical variables

answered Sep 19, 2016 at 3:32

5 votes

Accepted

Defining target variable - Credit Card industry

answered Sep 3, 2016 at 10:17

4 votes

Accepted

Is Regression objective in XGBoost invariant to feature attributes' scaling?

answered Sep 1, 2016 at 14:41

4 votes

Accepted

C <= 0! While Using Support Vector Machine for Classification

answered Sep 18, 2016 at 1:09

3 votes

Accepted

Extra ticket per ticket sold

answered Sep 22, 2016 at 18:53

3 votes

Accepted

In R, does randomForest use terms() of model.matrix?

answered Nov 8, 2016 at 11:37

3 votes

R classifier that handles NA's at prediction time

answered Sep 13, 2016 at 22:39

3 votes

Accepted

Understanding Cross Validation

answered Sep 27, 2016 at 4:55

2 votes

Accepted

Predict function tuning for random forest

answered Dec 27, 2016 at 11:53

2 votes

Forecasting optimization techniques in fantasy baseball

answered Sep 26, 2016 at 22:32

1 vote

Accepted

Random Forest signal lagged?

answered Sep 23, 2016 at 20:29

1 vote

Accepted

Interactions and Regressors Conditional on Other Regressors

answered Sep 17, 2016 at 16:48

1 vote

random forest - summarize two features in one without losing information

answered Mar 28, 2016 at 14:41

1 vote

How should one assign data randomly to cross validation folds?

answered Aug 18, 2016 at 11:37

1 vote

Accepted

What exactly does 'sevenfold-increased odds of baldness' mean?

answered Mar 25, 2016 at 10:54

1 vote

Accepted

What is the difference between RMSE and SEP

answered Jul 29, 2020 at 8:32

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23 Answers

XGBoost can handle missing data in the forecasting phase

Why jitter continuous value in a scatterplot?

What are variable importance rankings useful for?

Why is cv.glmnet returning absurd coefficients when intercept term is omitted?

Feature subsampling with gradient boosting

dropout regularization in gbm

New factors levels not present in training data

Partial Dependence plot interpretation for Categorical variables

Defining target variable - Credit Card industry

Is Regression objective in XGBoost invariant to feature attributes' scaling?

C <= 0! While Using Support Vector Machine for Classification

Extra ticket per ticket sold

In R, does randomForest use terms() of model.matrix?

R classifier that handles NA's at prediction time

Understanding Cross Validation

Predict function tuning for random forest

Forecasting optimization techniques in fantasy baseball

Random Forest signal lagged?

Interactions and Regressors Conditional on Other Regressors

random forest - summarize two features in one without losing information

How should one assign data randomly to cross validation folds?

What exactly does 'sevenfold-increased odds of baldness' mean?

What is the difference between RMSE and SEP