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Table 4 Prediction of variability in the CD4-binding site of Env using KBC and other algorithms

From: A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients

Clade

Methods

Balanced Accuracy a,b

Accuracy

Precision

Recall

F1 Score

Clade C

KBC

0.71 (± 0.01)

0.85 (± 0.01)

0.81 (± 0.07)

0.45 (± 0.03)

0.58 (± 0.02)

DT

0.61 (± 0.13)

0.76 (± 0.03)

0.32 (± 0.23)

0.34 (± 0.42)

0.25 (± 0.25)

RF

0.56 (± 0.04)

0.76 (± 0.03)

0.49 (± 0.08)

0.19 (± 0.18)

0.22 (± 0.14)

QDA

0.59 (± 0.07)

0.75 (± 0.04)

0.50 (± 0.08)

0.29 (± 0.28)

0.28 (± 0.15)

LDA

0.69 (± 0.11)

0.79 (± 0.03)

0.59 (± 0.09)

0.50 (± 0.31)

0.46 (± 0.19)

NB

0.67 (± 0.09)

0.73 (± 0.09)

0.45 (± 0.11)

0.58 (± 0.31)

0.45 (± 0.16)

ADA

0.46 (± 0.18)

0.62 (± 0.24)

0.44 (± 0.29)

0.15 (± 0.10)

0.20 (± 0.14)

LogReg

0.65 (± 0.12)

0.79 (± 0.01)

0.56 (± 0.04)

0.39 (± 0.33)

0.38 (± 0.21)

SVM

0.64 (± 0.11)

0.76 (± 0.03)

0.50 (± 0.06)

0.43 (± 0.35)

0.37 (± 0.16)

Clade B

KBC

0.69 (± 0.02)

0.89 (± 0.01)

0.78 (± 0.02)

0.40 (± 0.04)

0.53 (± 0.04)

DT

0.54 (± 0.02)

0.82 (± 0.02)

0.33 (± 0.02)

0.13 (± 0.08)

0.17 (± 0.10)

RF

0.53 (± 0.02)

0.82 (± 0.03)

0.35 (± 0.18)

0.11 (± 0.05)

0.15 (± 0.06)

QDA

0.56 (± 0.03)

0.82 (± 0.04)

0.42 (± 0.16)

0.17 (± 0.11)

0.21 (± 0.09)

LDA

0.58 (± 0.05)

0.82 (± 0.01)

0.38 (± 0.05)

0.24 (± 0.13)

0.28 (± 0.10)

NB

0.64 (± 0.08)

0.75 (± 0.10)

0.34 (± 0.14)

0.47 (± 0.21)

0.37 (± 0.13)

ADA

0.48 (± 0.03)

0.17 (± 0.02)

0.15 (± 0.01)

0.93 (± 0.10)

0.26 (± 0.02)

LogReg

0.56 (± 0.04)

0.84 (± 0.00)

0.42 (± 0.05)

0.17 (± 0.10)

0.23 (± 0.11)

SVM

0.55 (± 0.04)

0.82 (± 0.03)

0.35 (± 0.15)

0.17 (± 0.11)

0.21 (± 0.10)

  1. aStandard deviation values are indicated in parentheses
  2. bValues in bold font indicate the highest point estimation value for each metric