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Table 3 Experimental comparison: average accuracies on the test set

From: An overview of recent distributed algorithms for learning fuzzy models in Big Data classification

Algorithm

Dataset

HIG

SUS

KDD

POK

Chi-FRBCS-BigData

55.89

55.75

99.93

51.78

CHI_BD

57.81

65.36

99.91

52.22

DFAC-FFP

66.00

78.26

99.99

76.65

DPAES-RCS

65.00

78.12

99.94

60.22

DPAES-FDT-GL

65.03

78.60

99.88

61.80

Multi-way FDT

71.25

79.63

99.98

77.17

\(\text {FMDT}_{5}\)

72.32

78.97

99.98

76.21