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Table 5 Statistical Analysis of CNN classifiers

From: A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation

Metrics

TeethClassifier

HandClassifier

Models

Training

Testing

Training

Testing

Accuracy

0.993036

0.940188

0.994141

0.896552

Precision

0.997508

0.973428

0.998035

0.972441

Recall

0.988477

0.904527

0.990253

0.815182

F1 Score

0.992972

0.937713

0.994129

0.886894

Cohen’s Kappa

0.986070

0.880336

0.988281

0.792934

ROC-AUC

0.993015

0.940028

0.994148

0.896153

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BMC Health Services Research

ISSN: 1472-6963

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