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Table 6 Building time, training, and testing errors of selected classifiers

From: Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

Evaluation criteria

Classifier

K-NN

AdaBoost

XGB

HGB

Best building time model (s)

174

9 7

61

75

Kappa statistic

81%

87.10%

90%

91.24%

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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