Application of Random Forest Algorithm in Physical Education

Table 5

Experimental results of all the investigated ML classification models.

Measures	LR (C = 1)	NB	SVM (kernel = “rbf”)	GRNN	RF
TP	231	214	223	216	232
FN	15	32	13	22	10
FP	28	24	42	34	31
TN	84	88	80	86	85
Accuracy	87.99	84.36	84.64	84.35	88.55
Precision	89.19	89.91	84.15	86.40	88.21
Recall	93.90	86.99	94.49	90.75	95.86
F1 score	0.9148	0.8842	0.8902	0.8852	0.9187