Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth

Table 3

Comparative analysis results for years.

Metrics	DRL	PPO-RL	TEM-BPNN	ST-CNN	RNN	TAR-DL + IoT	ORDAA
Improvement (%)	34.9	36.78	42.26	46.46	51.43	56.35	62.264
Contribution detection	0.568	0.562	0.631	0.676	0.694	0.705	0.7677
Data analysis (/Input)	0.822	0.873	0.863	0.876	0.869	0.903	0.953
Summary (/Input)	326	452	532	456	547	815	1039
Analysis time (min)	9.26	8.37	7.89	5.68	4.13	4.51	2.665

Findings: the proposed ORDAA maximizes improvement, contribution detection, data analysis, and summary by 8.88%, 13.3%, 9.03%, and 7.73%, respectively. It reduces the analysis time by 10.51% and reduced error rate.