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Table 6 Pairwise comparisons among different language groups

From: Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants

 

English v.s. Other

English v.s. Spanish

Other v.s. Spanish

 

Observed difference

p_val

Observed difference

p_val

Observed difference

p_val

Ridge classifier

− 0.0915

0.135

− 0.3576

0.008

− 0.2661

0.081

Perceptron

− 0.1098

0.070

− 0.3733

0.005

− 0.2635

0.095

Passive-aggressive

− 0.0677

0.266

− 0.2410

0.087

− 0.1733

0.281

kNN

− 0.0934

0.159

− 0.3230

0.021

− 0.2295

0.121

Random forest

− 0.0094

0.833

− 0.2379

0.023

− 0.2285

0.064

LinearSVC_L1

− 0.0931

0.132

− 0.3587

0.007

− 0.2656

0.097

LinearSVC_L2

− 0.0919

0.135

− 0.3580

0.008

− 0.2661

0.095

SGDClassifier_L1

− 0.0967

0.113

− 0.3531

0.015

− 0.2564

0.097

SGDClassifier_L2

− 0.0939

0.143

− 0.3583

0.009

− 0.2643

0.078

SGDClassifier_EN

− 0.0940

0.136

− 0.3463

0.009

− 0.2523

0.093

MultinomialNB

− 0.1432

0.017

− 0.2967

0.034

− 0.1535

0.295

BernoulliNB

− 0.0697

0.091

0.0230

0.818

0.0927

0.397

Logistic regression

− 0.0849

0.174

− 0.3318

0.025

− 0.2469

0.093

SVC_rbf

− 0.0984

0.112

− 0.3491

0.013

− 0.2507

0.104

SVC_poly

− 0.1035

0.100

− 0.3809

0.009

− 0.2773

0.072

SVC_sigmoid

0.0372

0.544

− 0.1784

0.203

− 0.2155

0.151

  1. Observe difference: observed difference in AUC when comparing the performance between the sub-populations; p_val: p-value, p-values less than or equal to 0.05 were highlighted; Passive-aggressive: passive-aggressive classifier; kNN: k-Nearest Neighbors; LinearSVC_L1 or _L2: support vector machine with linear kernel coupled with L1 or L2 regularization; SGDClassifier_L1 or _L2 or _EN: stochastic gradient descent with L1 or L2 or Elastic Net regularization; MultinomialNB: Multinomial naïve Bayes; BernoulliNB: Bernoulli naïve Bayes; SVC_rbf or _poly or _sigmoid: support vector machine with rbf kernel or polynomial kernel or sigmoid kernel