Skip to main content

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