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. 2022 Jul 29;13:947856. doi: 10.3389/fpsyg.2022.947856

Table 4.

Results of using SIRD, isotonic regression to calibrate the XG Boost classifier.

Models used Log-loss Accuracy
XG Boost 1.196 68.98
XG Boost+Isotonic 0.513 73.12
XG Boost+SIRD 0.352 78.98