Table 4 Summarizes the performance metrics for the proposed model and the state-of-the-art scheduling methods.

From: Deep learning optimization of teaching schedules in sports dance education

Model

Conflict resolution

rate (CRR)

Schedule continuity

Execution time

(s)

Workload

balancing

Proposed Deep Learning

95%

94%

40

92%

Genetic Algorithm (GA)

75%

70%

120

60%

Simulated Annealing (SA)

78%

72%

90

65%

Reinforcement Learning

85%

80%

60

80%

Deep Learning (LSTM)

90%

88%

100

85%