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Table 8 Optimal λ comparison in projection method with considered kernels in cystic fibrosis data

From: Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence

   α=1,β=2 α=1,β=3 α=2,β=3 Cosine
q=1 (λ opt,AUCopt) (71,0.7771) (71,0.7711) (100,0.7829) (5.8,0.7889)
  (λ opt1,AUCopt1) (36.5,0.7775) (36.5,0.7713) (100,0.7829) (28.3,0.7912)
q=2 (λ opt,AUCopt) (100,0.8031) (100,0.8114) (1,0.8209) (2.5,0.7951)
  (λ opt1,AUCopt1) (100,0.8031) (100,0.8114) (1,0.8209) (43.38,0.7959)
q=3 (λ opt,AUCopt) (100,0.8103) (100,0.8140)) (1,0.8033) (2.8,0.7978)
  (λ opt1,AUCopt1) (100,0.8103) (100,0.8140) (1,0.8033) (34.3,0.8111)
q=4 (λ opt,AUCopt) (100,0.8296) (100,0.8356) (1,0.8286) (3.67,0.7825)
  (λ opt1,AUCopt1) (100,0.8296) (100,0.8356) (1,0.8286) (26.58,0.7979)
q=5 (λ opt,AUCopt) (100,0.7400) (100,0.7272) (100,0.7405) (6.2,0.6973)
  (λ opt1,AUCopt1) (100,0.7400) (100,0.7272) (100,0.7405) (27,0.7137)
q=6 (λ opt,AUCopt) (1,0.7173) (1,0.7164) (1,0.7224) (14,0.7144)
  (λ opt1,AUCopt1) (1,0.7173) (1,0.7164) (1,0.7224) (34.16,0.7156)
q=7 (λ opt,AUCopt) (1,0.6702) (1,0.6721) (1,0.6713) (21,0.6620)
  (λ opt1,AUCopt1) (1,0.6702) (1,0.6721) (1,0.6713) (22.17,0.6616)
q=8 (λ opt,AUCopt) (1,0.5928) (1,0.5791) (1,0.5935) (37,0.6388)
  (λ opt1,AUCopt1) (1,0.5928) (1,0.5791) (1,0.5935) (19.25,0.6387)
q=9 (λ opt,AUCopt) (1,0.5146) (1,0.5107) (1,0.5254) (85,0.5637)
  (λ opt1,AUCopt1) (1,0.5146) (1,0.5107) (1,0.5254) (17.5,0.5688)
  1. The italicize represents visible difference detected for projection methods with different optimal λ