User Robert de Graaf

16 votes

3 answers

752 views

Why are ensembles so unreasonably effective

asked May 25, 2016 at 13:08

9 votes

3 answers

678 views

Which, if any, machine learning algorithms are accepted as being a good tradeoff between explainability and prediction?

asked May 22, 2016 at 23:56

3 votes

1 answer

933 views

Is SuperLearning actually different to stacking,or are they essentially the same thing?

asked Jun 30, 2016 at 0:26

2 votes

1 answer

862 views

Is there an R package which uses neural networks to explicitly model count data?

asked Jul 12, 2016 at 12:19

2 votes

1 answer

3k views

How does QUEST compare to other decision tree algorithms?

asked Jun 28, 2016 at 0:33

2 votes

2 answers

604 views

Is there an R package for Locally Interpretable Model Agnostic Explanations?

asked Mar 23, 2017 at 5:32

1 vote

1 answer

69 views

Is there a text on Apache Spark that attempts to be as comprehensive as White's Hadoop: The Definitive Guide'?

asked Jun 4, 2016 at 11:37

1 vote

1 answer

572 views

Variable importance in ensemble models

asked Jun 16, 2016 at 1:40

0 votes

1 answer

83 views

Can data science be applied to establishing the author of a text?

asked Jun 19, 2016 at 11:30

0 votes

1 answer

75 views

Are there pitfalls in using the output of machine learning model, such as a neural net as the input to a traditional GLM or similar?

asked Aug 5, 2016 at 1:32

Stack Exchange Network

10 Questions

Why are ensembles so unreasonably effective

Which, if any, machine learning algorithms are accepted as being a good tradeoff between explainability and prediction?

Is SuperLearning actually different to stacking,or are they essentially the same thing?

Is there an R package which uses neural networks to explicitly model count data?

How does QUEST compare to other decision tree algorithms?

Is there an R package for Locally Interpretable Model Agnostic Explanations?

Is there a text on Apache Spark that attempts to be as comprehensive as White's Hadoop: The Definitive Guide'?

Variable importance in ensemble models

Can data science be applied to establishing the author of a text?

Are there pitfalls in using the output of machine learning model, such as a neural net as the input to a traditional GLM or similar?