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Table 3 Simulation Example 3

From: The partitioned LASSO-patternsearch algorithm with application to gene expression data

     

False patterns

Methods

X 100

X 200

X 300 X 400

X 150 X 450 X 451

(Variables)

pLPS3

47 (50)

50 (50)

47 (50,50)

47 (50,49,48)

204

Logic

50 (50)

50 (50)

34 (43,44)

30 (50,44,41)

151

RF

NA (50)

NA (50)

NA (36,40)

NA (49,47,49)

(279)

SPLR

50 (50)

50 (50)

45 (49,50)

50 (50,50,50)

554

  1. n = 1000 and p = 500, with correlations among neighboring variables. Tabulated numbers show the number of tests (out of 50) in which the pattern was detected by each algorithm. The number outside the parentheses is the number of times the given pattern was selected; the numbers inside the parentheses shows how many times the variables in the pattern are detected in the model, as a main effect or in some interaction. The final column shows the total number of times (in 50 tests) that the algorithms selected patterns (variables for RF) that are not in the true model.