Predicting Quality of Service via Leveraging Location Information

Table 7

Quality of services prediction accuracy comparison.

QoS Properties	Methods	Matrix Density=10%		Matrix Density=20%		Matrix Density=80%		Matrix Density=90%
		MAE	NMAE	MAE	NMAE	MAE	NMAE	MAE	NMAE
Response Time (0-20s)	UIPCC	0.5842	0.6433	0.4514	0.4970	0.3475	0.3822	0.3443	0.3785
	LACF	0.5612	0.6181	0.4778	0.5262	0.3692	0.4062	0.3637	0.3995
	RegionKNN	0.5491	0.6048	0.5155	0.5677	0.4950	0.5446	0.4860	0.5338
	PMF	0.4865	0.5361	0.4305	0.4743	0.3751	0.4123	0.3733	0.4098
	NMF	0.4774	0.5261	0.4269	0.4703	0.3723	0.4093	0.3705	0.4068
	NIMF	0.4792	0.5281	0.4202	0.4630	0.3665	0.4029	0.3677	0.4037
	LBR	0.4806	0.5293	0.4301	0.4737	0.3761	0.4138	0.3736	0.4103
	HMF	0.4815	0.5302	0.4298	0.4732	0.3734	0.4110	0.3698	0.4070
	EFMPred	0.3878	0.4083	0.3332	0.3606	0.2641	0.2910	0.2599	0.2825
	LANFM	0.3607	0.3966	0.3247	0.3571	0.2635	0.2903	0.2577	0.2823
	Improve	6.98	2.85	2.55	0.97	0.24	0.25	0.84	0.06
Throughput (0-1000kbps)	UIPCC	22.3274	0.4700	18.8646	0.3966	13.5460	0.2845	13.0623	0.2776
	LACF	19.4303	0.4087	16.4495	0.3459	12.4200	0.2609	12.1073	0.2545
	RegionKNN	24.8487	0.5226	24.0169	0.5050	24.0414	0.5050	23.9013	0.5023
	PMF	15.9794	0.3362	13.9052	0.2924	12.1408	0.2551	11.9442	0.2520
	NMF	15.5678	0.3275	13.5386	0.2847	11.9260	0.2506	11.7964	0.2489
	NIMF	15.1393	0.3185	13.1799	0.2772	11.8641	0.2493	11.7977	0.2489
	LBR	15.4431	0.3248	13.6455	0.2869	12.1012	0.2542	11.9560	0.2513
	HMF	15.7076	0.3304	13.5961	0.2859	11.6637	0.2450	11.5562	0.2429
	EFMPred	13.2966	0.2811	11.4295	0.2417	8.6713	0.1829	8.3839	0.1773
	LANFM	12.8365	0.2714	11.0560	0.2338	8.5160	0.1796	8.2561	0.1746
	Improve	3.46	3.45	3.27	3.27	1.79	1.80	1.52	1.52