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Table 3 Performances of other models

From: Deep Q-networks with web-based survey data for simulating lung cancer intervention prediction and assessment in the elderly: a quantitative study

Model

SVM

Random forest

Multiple logistic regression

Index

Accuracy

AUROCa

P valueb

Accuracy

AUROC

P value

Accuracy

AUROC

P value

Men ≥ 65 years

0.853

0.822

.003

0.846

0.837

.002

0.843

0.805

.002

Women ≥ 65 years

0.838

0.835

.015

0.826

0.819

.001

0.826

0.796

.003

Men

0.841

0.813

.001

0.817

0.793

.003

0.833

0.822

.015

Women

0.812

0.786

.002

0.801

0.786

.015

0.796

0.815

.003

All people

0.803

0.794

.015

0.787

0.813

.002

0.807

0.799

.015

  1. aAUROC area under the receiver operating characteristic curve
  2. bP value: P < .05 was considered to indicate statistical significance