TABLE V.

Recall, Precision and F-Score (SS: Sedentary State, DA: Daily Activity, RT: Resistance Training, RN: Running, BK: Biking)

Recall
Algorithm	SS	DA	RT	RN	BK	Mean
LSTM DL	0.875	0.954	0.934	0.985	0.991	0.947
k-NN	0.918	0.865	0.896	0.976	0.985	0.928
SVM	0.820	0.805	0.843	0.908	0.890	0.853
LR	0.824	0.666	0.822	0.922	0.851	0.817
NB	0.930	0.592	0.840	0.711	0.822	0.779
DT	0.898	0.837	0.908	0.896	0.889	0.886
EL	0.973	0.901	0.934	0.960	0.907	0.935
Precision
Algorithm	SS	DA	RT	RN	BK	Mean
LSTM DL	0.985	0.886	0.962	0.935	0.974	0.948
k-NN	0.968	0.936	0.985	0.837	0.890	0.923
SVM	0.906	0.767	0.884	0.864	0.852	0.855
LR	0.852	0.796	0.833	0.758	0.797	0.807
NB	0.836	0.792	0.703	0.755	0.727	0.763
DT	0.903	0.848	0.914	0.884	0.879	0.886
EL	0.956	0.924	0.957	0.876	0.943	0.931
F-score
Algorithm	SS	DA	RT	RN	BK	Mean
LSTM DL	0.927	0.919	0.948	0.959	0.982	0.947
k-NN	0.942	0.899	0.938	0.901	0.935	0.923
SVM	0.861	0.785	0.863	0.886	0.871	0.853
LR	0.837	0.726	0.827	0.832	0.823	0.809
NB	0.881	0.678	0.766	0.732	0.771	0.766
DT	0.901	0.843	0.911	0.890	0.884	0.886
EL	0.964	0.912	0.946	0.916	0.925	0.933