mbq

Warsaw, Poland

mbq.me

Age: 28

Dec
16
awarded Good Answer
Dec
14
awarded Yearling
Dec
14
awarded Yearling
Dec
2
awarded Good Question
Nov
29
comment fragmentation problem in decision tree
Note that decision tree and decision tree ensembles are two different worlds -- fragmentation (basically noise in the near-leaf branches) in ensemble should average out. Single decision tree is mostly about making interpretable and meaningful model, not necessarily perfectly accurate.
Nov
25
awarded Famous Question
Nov
24
awarded Nice Question
Nov
21
awarded Nice Answer
Nov
16
revised Selecting kernel or binary similarity measures
edited body; edited title
Nov
16
revised Identifiability and estimability
edited body; edited title
Nov
16
revised Classification algorithms that return confidence?
edited title
Nov
16
comment Test accuracy higher than training. How to interpret?
From definition, ML methods are about performance on unseen data, thus they give no guarantees about this result (the model is not expected to re-implement the mechanism underlying the data like in statistical modelling). In practice many methods give overly accurate predictions, thus it is only deceiving.
Nov
14
awarded Good Answer
Nov
12
revised A priori decision for a linear vs RBF Kernel SVM
edited title
Nov
12
answered Better in ROC AUC vs. better in PR AUC
Nov
12
revised Better in ROC AUC vs. better in PR AUC
edited title
Nov
10
comment How to perform genetic-algorithm variable selection in R for SVM input variables?
@DikranMarsupial Well, I can only invite you to try pre-filtering them with some of my timber tools (;
Nov
9
revised Validating clustering results with labeled data
edited title
Nov
5
awarded Pundit
Nov
4
awarded Popular Question
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