Table 2 The performance metrics of MSCA (multi-stage clustering algorithm)

From: Automatic extraction of fine structural information in angle-resolved photoemission spectroscopy by multi-stage clustering algorithm

Partition

Accuracy (%)

Precision (%)

Recall (%)

F1 (%)

Au

97.8

96.8

99.7

98.2

BN

98.9

95.9

95.1

95.5

MoS2-Au

94.7

90.8

79.1

84.5

1-MoS2

99.1

89.3

84.4

86.7

m-MoS2

95.7

61.8

61.4

61.6

Macro average

97.2

86.9

83.9

85.3

  1. The performance metrics of five partitions: Au, BN, MoS2-Au (MoS2 on substrate Au), 1-MoS2 (monolayer MoS2 on substrate BN) and m-MoS2 (multilayer MoS2 on substrate BN), based on the MSCA in n = 6 case (Fig. 4n)
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