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. 2024 Jul 2;24(13):4313. doi: 10.3390/s24134313

Table 16.

Results of the XGBoost model for the 1 February 2023 to 15 May 2023 test dataset.

Durations Evaluation Metrics
Precision (%) Recall (%) F1-Score (%) Support
Very Short 99.220 98.293 98.754 8026
Short 96.088 97.107 96.595 6222
Medium 96.531 97.007 96.768 5679
Long 98.576 98.141 98.358 4303
Macro Avg 97.604 97.637 97.619 24,230
Weighted Avg 97.671 97.660 97.664 24,230
Accuracy 97.660% 24,230