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Table 3 Results of performance metrics for dominance classification

From: A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals

TimeClassifierAccuracy (%)Precision (%)Recall (%)F1-score (%)
0 to 15 sSVM64.5364.5210078.09
LR64.3064.4297.0077.42
DT50.6268.7337.5047.87
KNN59.3367.9370.0269.47
LDA57.8157.4899.0972.78
15 to 30 sSVM67.6567.6510080.07
LR68.3669.5696.9581.01
DT65.0170.5885.5477.30
KNN63.5970.2083.0576.86
LDA67.567.7799.0680.05
30 to 45 sSVM67.1867.7299.5577.66
LR68.0869.6696.8580.85
DT67.8471.2097.5079.99
KNN62.6469.8581.6975.31
LDA66.5667.3598.9679.88
45 to 60 sSVM66.2567.3010079.62
LR67.7369.4794.9480.22
DT71.7369.7398.4082.17
KNN63.1268.0386.4576.14
LDA66.6767.4098.3479.99