Table 5.

Results of binary classification of hunger and satiety.

Classifier	Win Size (T)	Step Size ($\mathsf{\Delta }$S)	Acc. Hungry	Acc. Satiety	Acc	AF1 Score
SVM	10	05	20.90	70.37	56.89	45.63
DT	10	05	27.94	70.40	58.04	49.17
RF	10	05	30.97	71.75	59.90	51.36
SVM	30	15	21.61	68.86	55.43	45.24
DT	30	15	21.93	71.54	58.29	46.73
RF	30	15	38.59	73.23	62.71	55.91
SVM	60	30	13.19	69.50	55.00	41.34
DT	60	30	18.44	79.43	67.14	48.93
RF	60	30	36.36	82.05	72.00	59.21

DT: Decision tree classifier; RF: Random forest classifier; SVM: Support vector machine classifier; Acc: Accuracy; AF1 Score: Averaged macro F1 score.