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Table 4 Results of performance metrics for liking 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 sSVM64.3764.3796.9678.27
LR66.4366.5698.5680.42
DT61.1266.4085.0072.80
KNN62.2467.9681.3674.06
LDA64.4564..5699.5178.95
15 to 30 sSVM67.7667.7610080.44
LR68.3269.3396.7781.71
DT68.0568.0710081.01
KNN65.4869.2588.5477.76
LDA67.0367.2999.0680.15
30 to 45 sSVM71.5170.4599.7683.48
LR69.5469.0899.3081.48
DT68.0868.0810081.01
KNN74.2877.4998.0586.57
LDA67.5067.5099.5380.45
45 to 60 sSVM67.1868.1810080.07
LR68.0868.0598.9580.85
DT67.7868.0999.3080.79
KNN63.1268.0386.4576.16
LDA67.3467.3499.7680.40