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Jun
30
comment Feature selection with genetic algorithm in R
Still, I doubt it will work, unless you have tons of cases; so please proceed with caution and validate well.
Jun
28
revised Feature selection with genetic algorithm in R
deleted 1 character in body; edited title
Jun
28
answered Feature selection with genetic algorithm in R
Jun
28
revised Decreasing training learning curve
edited title
Jun
28
revised Three-ways Kruskal-Wallis test
Formatting.
Jun
18
awarded  Popular Question
Jun
17
comment Evaluation and optimization in machine learning
Also, as both evaluation and optimisation require some truth (i.e. true decision for some objects), they musn't ever use the same information, because it will make evaluation result biased and may hide overfitting.
Jun
9
comment How does extreme random forest differ from random forest?
@smci Fixed, thanks.
Jun
9
revised How does extreme random forest differ from random forest?
deleted 12 characters in body
Jun
8
answered Area under ROC curve for random forest
Jun
8
revised Area under ROC curve for random forest
added 31 characters in body
Jun
7
awarded  Nice Answer
Jun
4
awarded  Nice Answer
Jun
3
comment Intuitive explanation for dividing in (n-1) when calculating sd?
Formally, it is a consequence than reason, but, as i wrote, I find it to be a good intution to memorize it.
May
29
awarded  Nice Answer
May
27
reviewed Approve What is the most efficient method to conduct for hypothesis testing?
May
27
revised Lowering C parameter increases the number of support vectors
deleted 5 characters in body; edited title
May
26
comment Compute a Pvalue from the averaged Pearson and Spearman rho
Relevant: stats.stackexchange.com/a/432/88
May
20
revised How compare aggregate data before and after policy?
edited title
May
18
comment Any easy way to cluster GPS trajectories?
Possiby gdal_rasterize, but you should ask on gis.stackexchange.com