Table 17.

model A tree of the classification model for full training set, obtained by the execution of Random Forest on DNA methylation data of Breast Invasive Carcinoma

DNM2_dnaMeth <3.68

∥ CRYAB_dnaMeth <2.01

∥ ∥ AUNIP_dnaMeth <1.51 : tumoral (27/0)

∥ ∥ AUNIP_dnaMeth ≥1.51

∥ ∥ ∥ NPY_dnaMeth <4.85

∥ ∥ ∥ ∥ SACM1L_dnaMeth <2.65

∥ ∥ ∥ ∥ ∥ LINC00336_dnaMeth <4.05 : tumoral (2/0)

∥ ∥ ∥ ∥ ∥ LINC00336_dnaMeth ≥4.05 : normal (8/0)

∥ ∥ ∥ ∥ SACM1L_dnaMeth ≥2.65 : normal (76/0)

∥ ∥ ∥ NPY_dnaMeth ≥4.85

∥ ∥ ∥ ∥ PLEKHM2_dnaMeth <20.49 : tumoral (9/0)

∥ ∥ ∥ ∥ PLEKHM2_dnaMeth ≥20.49 : normal (5/0)

∥ CRYAB_dnaMeth ≥2.01 : tumoral (114/0)

DNM2_dnaMeth ≥3.68

∥ SPRYD4_dnaMeth <1.3 ∥ ∥ DAP3_dnaMeth <2.21

∥ ∥ ∥ MYOG_dnaMeth <11.05 : tumoral (646/0)

∥ ∥ ∥ MYOG_dnaMeth ≥11.05

∥ ∥ ∥ ∥ GMEB2_dnaMeth <9.57 : tumoral (1/0)

∥ ∥ ∥ ∥ GMEB2_dnaMeth ≥9.57 : normal (1/0)

∥ ∥ DAP3_dnaMeth ≥2.21 : normal (1/0)

∥ SPRYD4_dnaMeth ≥1.3

∥ ∥ LBX1-AS1_dnaMeth <10.63 : normal (5/0)

∥ ∥ LBX1-AS1_dnaMeth ≥10.63 : tumoral (2/0)

Size of the tree: 25

The full output is composed by 30 trees with different sizes with multiple leaves containing also the total weight of instances