Table 8 Performance metrics for different modalities and classifiers with forward feature selection.

From: Dynamically predicting comprehension difficulties through physiological data and intelligent wearables

Modality

PRV

EDA

Classifier

Accuracy

Precision

Recall

F1

Accuracy

Precision

Recall

F1

LR

\(52.74\%\pm 0.56\)

0.54

0.55

0.54

\(66.00\%\pm 1.21\)

0.55

0.66

0.60

LDA

\(58.32\%\pm 0.08\)

0.56

0.64

0.60

\(56.75\%\pm 2.22\)

0.53

0.56

0.54

GNB

\(54.10\%\pm 0.41\)

0.55

0.61

0.58

\(55.39\%\pm 1.89\)

0.58

0.64

0.61

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