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Advances, Systems and Applications

Table 4 Performace comparison for response time

From: QoS prediction in intelligent edge computing based on feature learning

RT

Matrix density=5%

Matrix density=10%

Matrix density=15%

Matrix density=20%

Methods

MAE

RMSE

MAE

RMSE

MAE

RMSE

MAE

RMSE

UPCC

0.7934

1.6724

0.6787

1.6278

0.6114

1.6038

0.5975

1.5302

IPCC

0.8551

1.4988

0.7091

1.4732

0.6515

1.4548

0.6351

1.4481

UIPCC

0.7354

1.4879

0.6234

1.4502

0.5669

1.4367

0.538

1.4272

DNM

0.4125

1.3463

0.3726

1.2673

0.3678

1.249

0.3575

1.2298

LAFIL

0.3968

1.3234

0.374

1.2808

0.3475

1.2279

0.3321

1.2146

MFAIN

0.3557

1.1909

0.3202

1.1238

0.3114

1.0904

0.3012

1.0629

Gains

10.40%

10.00%

14.10%

11.30%

10.40%

11.20%

9.30%

12.50%