Table 4 Performance metrics of the proposed model across different epochs.

From: DeepFusionNet for realtime classification in iotbased crossmedia art and design using multimodal deep learning

Number of Epochs

Accuracy

Sensitivity

Specificity

F1 Score

Precision

MCC

AUC

50

94.2

92.5

96.1

93.8

95.0

0.846

0.96

100

92.4

90.7

94.1

91.5

92.8

0.815

0.93

150

93.8

92.1

95.6

92.9

94.3

0.840

0.95

200

93.0

91.3

94.7

92.2

93.6

0.825

0.94

250

85.3

82.7

88.2

84.0

85.5

0.740

0.90

300

78.4

75.5

80.3

76.2

77.1

0.700

0.86

350

72.1

70.2

73.0

71.6

72.5

0.630

0.82

400

68.5

67.1

69.2

67.8

68.3

0.590

0.80

450

67.5

65.9

68.1

66.7

67.2

0.570

0.78

500

66.54

64.46

67.78

65.87

67.1

0.564

0.77