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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