User JEquihua

22 votes

When to Log/Exp your Variables when using Random Forest Models?

answered May 24, 2013 at 16:38

13 votes

Accepted

Measure for Separability

answered Dec 7, 2013 at 14:20

11 votes

How to perform unsupervised Random Forest classification using Breiman's code?

answered Oct 22, 2013 at 15:43

10 votes

How to choose the split in Random forest for categorical predictors (features)?

answered Nov 15, 2013 at 14:33

8 votes

Is random forest a boosting algorithm?

answered Nov 20, 2013 at 14:06

8 votes

Accepted

Categorical response variable prediction

answered Nov 5, 2013 at 14:33

8 votes

Accepted

Does RandomForest ignore spatial independence?

answered Jan 29, 2014 at 14:39

6 votes

Accepted

Can Random Forest Methodology be Applied to Linear Regressions?

answered Jan 28, 2014 at 3:04

5 votes

Data Sets suitable for k-means

answered Dec 15, 2013 at 17:32

5 votes

Self organizing maps vs. kernel k-means

answered Oct 30, 2013 at 15:49

4 votes

Are there any known methods for picking out the "easy" cases for classification?

answered Nov 27, 2013 at 22:22

4 votes

Accepted

How to evaluate/validate clusters using multiple clustering methods

answered Oct 31, 2013 at 18:03

4 votes

Random Forest: more trees gave worse results

answered Dec 9, 2013 at 16:35

3 votes

Accepted

random forest for large number of variables and predictions

answered May 21, 2014 at 14:16

3 votes

Validate cluster analysis in R

answered Jul 19, 2013 at 5:12

3 votes

Accepted

Regression techniques similar to Kriging/Gaussian process regression

answered Aug 19, 2013 at 19:03

3 votes

Multivariate linear regression in R

answered Apr 17, 2013 at 21:57

2 votes

Non-independence of IVs in a random forest model

answered Mar 12, 2013 at 22:51

2 votes

Perfect sampling from a huge dataset

answered Aug 19, 2013 at 19:33

2 votes

Accepted

How to choose train/test sample ratio, for machine learning?

answered Jan 5, 2014 at 18:58

2 votes

Direction of the z-scores in randomForest

answered Dec 5, 2013 at 14:23

1 vote

How to correctly understand confidence intervals and confidence level

answered Jul 12, 2014 at 10:06

1 vote

How do I know which class my random forest model is predicting?

answered Mar 22, 2014 at 15:04

1 vote

Accepted

Classifier or regression for binary system?

answered Dec 4, 2013 at 23:18

1 vote

Accepted

Prediction with randomForest (R) when some inputs have missing values (NA)

answered Jun 19, 2013 at 5:13

1 vote

Cluster location data with kmeans++

answered May 9, 2013 at 15:45

1 vote

Parameters for a Hierarchical Multinomial Regression

answered May 20, 2013 at 5:38

0 votes

Sample size with respect to prediction in classification and regression

answered May 22, 2013 at 15:53

0 votes

Accepted

How does cross validation work in R's gbm package?

answered Jun 13, 2013 at 19:48

0 votes

Accepted

Discriminant analysis for the validation of cluster analysis

answered Oct 31, 2013 at 17:49

Stack Exchange Network

31 Answers

When to Log/Exp your Variables when using Random Forest Models?

Measure for Separability

How to perform unsupervised Random Forest classification using Breiman's code?

How to choose the split in Random forest for categorical predictors (features)?

Is random forest a boosting algorithm?

Categorical response variable prediction

Does RandomForest ignore spatial independence?

Can Random Forest Methodology be Applied to Linear Regressions?

Data Sets suitable for k-means

Self organizing maps vs. kernel k-means

Are there any known methods for picking out the "easy" cases for classification?

How to evaluate/validate clusters using multiple clustering methods

Random Forest: more trees gave worse results

random forest for large number of variables and predictions

Validate cluster analysis in R

Regression techniques similar to Kriging/Gaussian process regression

Multivariate linear regression in R

Non-independence of IVs in a random forest model

Perfect sampling from a huge dataset

How to choose train/test sample ratio, for machine learning?

Direction of the z-scores in randomForest

How to correctly understand confidence intervals and confidence level

How do I know which class my random forest model is predicting?

Classifier or regression for binary system?

Prediction with randomForest (R) when some inputs have missing values (NA)

Cluster location data with kmeans++

Parameters for a Hierarchical Multinomial Regression

Sample size with respect to prediction in classification and regression

How does cross validation work in R's gbm package?

Discriminant analysis for the validation of cluster analysis