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Table 2 Accuracy, sensitivity, specificity and precision of different ML models

From: Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms

Models

Accuracy

Sensitivity

Specificity

Precision

Mean

SE

Mean

SE

Mean

SE

Mean

SE

DT

0.8845

0.017

0.8908

0.027

0.8639

0.076

0.9581

0.024

RF

0.8929

0.014

0.8953

0.027

0.8853

0.075

0.9653

0.021

SVM (polynomial kernel)

0.7782

0.035

0.8504

0.047

0.6047

0.065

0.8406

0.039

SVM (linear kernel)

0.8054

0.039

0.8460

0.045

0.7188

0.172

0.8969

0.068

LR

0.7723

0.037

0.8160

0.045

0.6175

0.094

0.8848

0.031

  1. Mean Mean of different scores of the repeated runs, SE Standard Error of different scores of the repeated runs