Table 21 Performance of in-hospital mortality prediction by multiple classifiers

Logistic regression

Random forest

mean

0.8122 ±0.0040

0.5147 ±0.0021

0.8248 ±0.0016

0.5128 ±0.0050

first

0.7354 ±0.0033

0.4019 ±0.0022

0.7366 ±0.0017

0.3665 ±0.0014

min, max

0.8277 ±0.0041

0.5328 ±0.0020

0.8308 ±0.0021

0.5289 ±0.0042

min, max, mean

0.8301 ±0.0034

0.5365 ±0.0016

0.8310 ±0.0012

0.5297 ±0.0030

min, max, mean, std

0.8315 ±0.0018

0.5416 ±0.0010

0.8282 ±0.0005

0.5262 ±0.0020

min, max, range, median

0.8330 ±0.0022

0.5429 ±0.0013

0.8316 ±0.0015

0.5308 ±0.0042

SVM

Decision tree

mean

0.7997 ±0.0018

0.5121 ±0.0037

0.6163 ±0.0014

0.2652 ±0.0012

first

0.7190 ±0.0029

0.3779 ±0.0023

0.5797 ±0.0039

0.2359 ±0.0031

min, max

0.8056 ±0.0026

0.5237 ±0.0018

0.6243 ±0.0039

0.2724 ±0.0024

min, max, mean

0.8124 ±0.0026

0.5377 ±0.0026

0.6256 ±0.0015

0.2739 ±0.0024

min, max, mean, std

0.8165 ±0.0019

0.5424 ±0.0017

0.6241 ±0.0041

0.2719 ±0.0027

min, max, range, median

0.8186 ±0.0026

0.5446 ±0.0015

0.6337 ±0.0030

0.2800 ±0.0024