Table 2 Classification accuracy of algorithms using ECG data under different stages.

model	eval	Logistic Regression	SVM	Random Forest	Kneighbors	XGBoost
Complete	ROC	73.37	75.14	75.13	81.14	83.04
Complete	acc	63.87	66.39	63.03	73.11	71.43
Rest	ROC	70.86	72.78	73.86	79.22	80.49
Rest	acc	63.02	61.34	62.18	67.23	69.75
Stress	ROC	72.19	73.66	75.84	79.45	84.38
Stress	acc	63.87	63.03	63.87	72.27	73.11
Recover	ROC	73.88	77.42	75.88	82.54	86.52
Recover	acc	64.71	67.23	64.71	74.79	72.27
Rest + Stress + Recover	ROC	75.23	79.08	77.9	84.44	85.47
Rest + Stress + Recover	acc	68.91	71.43	68.91	72.27	73.95

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