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

Table 3.

Maximum accuracy for classification methods.

Models Maximum accuracy (%) Number of features for maximum accuracy
Random forest 68.6 44
MLP 59.38 58
XG Boost 72.43 40
Logistic regression 56.74 50
SVM 66.95 49
KNN 53.28 3
Decision trees 52.23 5