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Table 4 Calibration results of linear growth faltering prediction models

From: Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach

Algorithm*

Brier Score

Spiegelhalter Z-score

Spiegelhalter p-value

RF

0.19

16.83

< 0.0001

GBM

2.50

208.10

< 0.0001

NB

2.18

101.02

< 0.0001

LR

2.16

85.02

< 0.0001

SVM

2.16

85.88

< 0.0001

KNN

2.21

109.88

< 0.0001

ANN

2.17

84.07

< 0.0001

  1. *RF-Random Forest; GBM-Gradient Boosting; NB- Naïve Bayes; LR-Logistic Regression; SVM- Support vector machine; KNN-K-nearest neighbors; ANN-Artificial Neural Networks
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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