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Table 1 Comparsion of area under the ROC curve between FeaLect, lars, and Bolasso on six different datasets.

From: Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis

Dataset Total samples # of features 20 training samples 40 training samples Reference
    Bolasso lars FeaLect Bolasso lars FeaLect  
Lymphoma 258 505 0.62 0.81 0.84 0.67 0.87 0.88 current
Colon 62 2000 0.50 0.57 0.65 0.47 0.64 0.75 [23]
Arcene 100 10000 0.51 0.59 0.64 0.50 0.66 0.72 [26] (UCI)
SECOM 208 590 0.51 0.57 0.61 0.52 0.61 0.64 [25] (UCI)
Connectionist 208 60 0.63 0.76 0.78 0.67 0.78 0.79 [27] (UCI)
ISOLET 479 617 0.90 0.99 1.00 0.91 1.00 1.00 [28] (UCI)