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Table 3 Prediction of variability in the high-mannose patch of Env by 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

Method

Balanced Accuracy a,b

Accuracy

Precision

Recall

F1 Score

Clade C

KBC

0.65 (± 0.05)

0.69 (± 0.05)

0.67 (± 0.08)

0.47 (± 0.05)

0.55 (± 0.08)

DT

0.59 (± 0.05)

0.63 (± 0.07)

0.54 (± 0.07)

0.39 (± 0.21)

0.43 (± 0.17)

RF

0.59 (± 0.02)

0.63 (± 0.03)

0.60 (± 0.05)

0.34 (± 0.13)

0.42 (± 0.10)

QDA

0.60 (± 0.02)

0.63 (± 0.04)

0.57 (± 0.02)

0.39 (± 0.16)

0.45 (± 0.12)

LDA

0.58 (± 0.04)

0.62 (± 0.06)

0.54 (± 0.07)

0.39 (± 0.17)

0.44 (± 0.13)

NB

0.61 (± 0.06)

0.63 (± 0.08)

0.54 (± 0.08)

0.52 (± 0.21)

0.52 (± 0.14)

ADA

0.50 (± 0.05)

0.44 (± 0.04)

0.42 (± 0.02)

0.88 (± 0.09)

0.56 (± 0.02)

LogReg

0.57 (± 0.06)

0.61 (± 0.04)

0.55 (± 0.07)

0.33 (± 0.20)

0.38 (± 0.15)

SVM

0.58 (± 0.04)

0.62 (± 0.06)

0.56 (± 0.06)

0.35 (± 0.23)

0.40 (± 0.17)

Clade B

KBC

0.65 (± 0.02)

0.74 (± 0.02)

0.68 (± 0.06)

0.39 (± 0.03)

0.50 (± 0.04)

DT

0.60 (± 0.05)

0.70 (± 0.02)

0.61 (± 0.03)

0.29 (± 0.16)

0.36 (± 0.16)

RF

0.62 (± 0.00)

0.72 (± 0.00)

0.61 (± 0.02)

0.35 (± 0.02)

0.45 (± 0.01)

QDA

0.63 (± 0.01)

0.73 (± 0.01)

0.64 (± 0.03)

0.36 (± 0.02)

0.46 (± 0.02)

LDA

0.64 (± 0.01)

0.72 (± 0.01)

0.61 (± 0.01)

0.40 (± 0.04)

0.48 (± 0.03)

NB

0.67 (± 0.04)

0.70 (± 0.03)

0.53 (± 0.05)

0.59 (± 0.07)

0.56 (± 0.06)

ADA

0.41 (± 0.05)

0.29 (± 0.02)

0.28 (± 0.03)

0.74 (± 0.14)

0.40 (± 0.05)

LogReg

0.64 (± 0.02)

0.72 (± 0.01)

0.61 (± 0.02)

0.39 (± 0.05)

0.47 (± 0.03)

SVM

0.63 (± 0.02)

0.70 (± 0.02)

0.55 (± 0.03)

0.41 (± 0.01)

0.47 (± 0.02)

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