[Retracted] Online Education Satisfaction Assessment Based on Machine Learning Model in Wireless Network Environment

Table 2

Algorithm performance comparison.

	C4.5		Cost-sensitive decision tree		Random forest
	Accuracy	Recall	Accuracy	Recall	Accuracy	Recall
1	0.9637	0.3118	0.8110	0.6058	0.9011	0.7158
2	0.9642	0.3574	0.7522	0.7623	0.8322	0.7521
3	0.9634	0.3234	0.7942	0.7221	0.8042	0.7408
4	0.9637	0.3834	0.7866	0.7208	0.7966	0.7565
5	0.9642	0.3534	0.8366	0.6765	0.8409	0.7508
6	0.9634	0.3334	0.8166	0.7008	0.8242	0.7367
7	0.9637	0.3634	0.7966	0.6901	0.8342	0.7408
8	0.9642	0.3834	0.7966	0.7208	0.8366	0.7208
9	0.9634	0.3334	0.8266	0.6208	0.8766	0.7308
10	0.9615	0.3234	0.8166	0.7108	0.8205	0.7367
Average value	0.9635	0.3466	0.8225	0.6931	0.8205	0.7367
Standard deviation	0.000789	0.02406	0.04314	0.04547	0.01653	0.0134