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Table 5 Significance Testing between XGBoost and Other Models

From: Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning

 

RF

LR

KNN

NB

DT

P value

0·375

0·002

0·002

0·002

0·006

  1. P < 0.05 are in bold
  2. XGBoost Extreme Gradient Boosting, NB Naive Bayes, LR Logistic Regression, KNN K-Nearest-Neighbor, RF Random Forest, DT Decision Tree