User user2542275

21 votes

1 answer

18k views

Is gradient boosting appropriate for data with low event rates like 1%?

asked Feb 29, 2016 at 14:03

9 votes

1 answer

18k views

Manually calculating logistic regression coefficient

asked Jun 23, 2016 at 12:46

6 votes

1 answer

2k views

What are some of the best approaches for variable selection in Poisson regression?

asked Jun 13, 2016 at 15:05

5 votes

2 answers

1k views

Is it fine to slightly overfit, if its giving you good predictive power?

asked Mar 21, 2016 at 10:58

4 votes

1 answer

907 views

Interpreting silhouette coefficeint for clara function in R

asked Jul 25, 2015 at 18:24

3 votes

2 answers

1k views

Visualizing a two way interaction for a binary dependent variable

asked Jul 5, 2016 at 9:27

3 votes

0 answers

542 views

How can we model variable interactions using neural network?

asked Jul 5, 2016 at 10:51

2 votes

0 answers

326 views

Is there a minimum event rate required for Gradient Boosting to work?

asked Apr 13, 2016 at 9:05

2 votes

1 answer

93 views

Is it normal for logistic regression, to have predictors which have good Wald's Chi Sq, but still bad performance?

asked Apr 26, 2016 at 8:51

2 votes

2 answers

2k views

How to calculate WOE (weight of evidence) for single class bins?

asked Feb 15, 2016 at 11:56

2 votes

2 answers

225 views

How to reduce the final set of significant variables from logistic model?

asked Feb 25, 2016 at 10:26

2 votes

1 answer

1k views

Is random forest applied only to continuous response variable?

asked Jun 15, 2014 at 11:11

2 votes

0 answers

275 views

How to do smoothing of data with low counts?

asked Sep 23, 2014 at 8:23

1 vote

1 answer

2k views

multiple predictors in decision tree model

asked Jun 14, 2014 at 8:45

1 vote

1 answer

5k views

Understanding results of xgboost, parameter tuning [closed]

asked Jun 8, 2016 at 12:33

0 votes

0 answers

28 views

Logistic regression understanding variable nature [duplicate]

asked Jun 7, 2014 at 7:33

0 votes

0 answers

2k views

applying random forest in place of decision tree method in R

asked Jun 14, 2014 at 13:48

0 votes

0 answers

104 views

what is the best method of smoothing time series for product share data?

asked Nov 21, 2014 at 16:47

0 votes

1 answer

56 views

The best method to compare survey response? [duplicate]

asked Apr 1, 2015 at 5:16

Stack Exchange Network

19 Questions

Is gradient boosting appropriate for data with low event rates like 1%?

Manually calculating logistic regression coefficient

What are some of the best approaches for variable selection in Poisson regression?

Is it fine to slightly overfit, if its giving you good predictive power?

Interpreting silhouette coefficeint for clara function in R

Visualizing a two way interaction for a binary dependent variable

How can we model variable interactions using neural network?

Is there a minimum event rate required for Gradient Boosting to work?

Is it normal for logistic regression, to have predictors which have good Wald's Chi Sq, but still bad performance?

How to calculate WOE (weight of evidence) for single class bins?

How to reduce the final set of significant variables from logistic model?

Is random forest applied only to continuous response variable?

How to do smoothing of data with low counts?

multiple predictors in decision tree model

Understanding results of xgboost, parameter tuning [closed]

Logistic regression understanding variable nature [duplicate]

applying random forest in place of decision tree method in R

what is the best method of smoothing time series for product share data?

The best method to compare survey response? [duplicate]