Table 6 Experimental results with data filled using KNN and standardized.

From: Enhancing crayfish sex identification with Kolmogorov-Arnold networks and stacked autoencoders

Model

Accuracy

Recall

Specificity

Precision

F1-score

MCC

MLP

0.804

0.800

0.807

0.769

0.784

0.605

KNN

0.732

0.660

0.790

0.717

0.688

0.455

NB

0.571

0.300

0.790

0.536

0.385

0.104

RF

0.661

0.560

0.742

0.636

0.596

0.307

SVM

0.830

0.820

0.839

0.804

0.812

0.658

KAN

0.982

1.0

0.968

0.962

0.980

0.965

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