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. Author manuscript; available in PMC: 2021 Sep 1.
Published in final edited form as: Mach Learn Sci Technol. 2021 May 13;2(3):035015. doi: 10.1088/2632-2153/abe6d6

Figure 2.

Figure 2.

Fine-tuned results of weight and depth parameters in XGBoost model. Two sets of parameters, depth 5 weight 40 and depth 8 weight 40, exhibited exceptional high F1 score and were selected for further prediction.