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Table 8 Part-B mean and standard deviation of AUPRC with varying levels of RUS (10 iterations of fivefold cross-validation)

From: Evaluating classifier performance with highly imbalanced Big Data

Class ratio

LGB

CB-16

ET

XGB-24

RF-GPU-32

1:1

0.04621

0.05853

0.93517

0.15584

0.26342

(0.00253)

(0.00238)

(0.00209)

(0.00419)

(0.01037)

1:3

0.06426

0.08606

0.94335

0.38531

0.42815

(0.00217)

(0.00236)

(0.00160)

(0.00786)

(0.00815)

1:9

0.07818

0.11695

0.94563

0.67304

0.56271

(0.00513)

(0.00224)

(0.00129)

(0.00795)

(0.00532)

1:27

0.06664

0.14166

0.94682

0.85988

0.70862

(0.00761)

(0.00309)

(0.00155)

(0.00376)

(0.00746)

1:81

0.06128

0.15084

0.94758

0.92030

0.80848

(0.01261)

(0.00299)

(0.00150)

(0.00167)

(0.00270)

Unchanged

0.06768

0.13607

0.94990

0.93947

0.90510

(0.01071)

(0.00254)

(0.00162)

(0.00156)

(0.00182)

  1. Standard deviations are below AUPRC scores in parenthesis