Skip to main content

Table 5 Quantification error and statistical analysis

From: Combining instance selection and self-training to improve data stream quantification

 

SQSI with RF

SQSI with SVM

 

CC (NRAE =0.0648)

PCC (NRAE =0.0546)

ACC (NRAE =0.0599)

CC (NRAE =0.0574)

PCC (NRAE =0.0392)

ACC (NRAE =0.0504)

 

NRAE

p value

NRAE

p value

NRAE

p value

NRAE

p value

NRAE

p value

NRAE

p value

SQSI-IS +k-means

0.0758

ns

0.0670

ns

0.0846

ns

0.1059

ns

0.0758

ns

0.0853

ns

SQSI-IS + Farthest-first

0.1053

ns

0.0952

ns

0.1102

ns

0.1000

ns

0.0907

ns

0.1165

ns

SQSI-IS + Random

0.1011

ns

0.0867

ns

0.0966

ns

0.1060

ns

0.0953

ns

0.0967

ns

  1. Mean error and results for Friedman test between the SQSI and SQSI-IS using different instance selection techniques for each quantification method
  2. ns not significant