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Table 4. Accuracy scores for all predictive models

From: Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

Predictive modelLRRFCNNERs
Prediction of the Child-Pugh class
 Spearman ρ0.350.320.510.60
 Accuracy (%)47475357
Classification Child-Pugh class A versus ≥ B
 Accuracy (%)71707871
 Sensitivity (%)85818182
 Specificity (%)38437066
  1. AUC Area under the curve at receiver operating characteristic analysis, LR Linear regression, RF Random forest, CNN Convolution neuronal network, ERs Experienced radiologists