Research Article

Composite Quantile Regression Neural Network for Massive Datasets

Table 3

Comparison results for case 2.

SamplesErrorsIndicesDC-DC-QRNNDC-QRNNANNRFSVM

In sample0.03000.03020.03040.04010.04030.04070.06010.06050.06070.06030.03770.0598
(0.0002)(0.0003)(0.0001)(0.0002)(0.0002)(0.0004)(0.0002)(0.0002)(0.0005)(0.0002)(0.0001)(0.0002)
0.04520.05540.05570.05530.05540.05590.07520.07540.07600.07530.04450.0750
(0.0003)(0.0004)(0.0001)(0.0003)(0.0003)(0.0005)(0.0003)(0.0003)(0.0006)(0.0003)(0.0001)(0.0003)
0.17030.17070.17660.22030.22080.22510.32030.32210.32630.32040.20440.3201
(0.0011)(0.0012)(0.0028)(0.0011)(0.0013)(0.0013)(0.0011)(0.0016)(0.0027)(0.0014)(0.0011)(0.0014)
0.33270.33290.36150.38280.38310.38620.48280.48090.48250.48330.27100.4832
(0.0018)(0.0019)(0.0019)(0.0184)(0.0184)(0.0180)(0.0185)(0.0148)(0.0134)(0.0183)(0.0079)(0.0183)
0.30580.30610.31120.35580.35620.36270.45580.45640.46370.46970.26220.4558
(0.0018)(0.0017)(0.0008)(0.0018)(0.0017)(0.0042)(0.0018)(0.0019)(0.0038)(0.0020)(0.0010)(0.0016)
0.50530.50260.51940.55530.55260.56140.65540.65760.66310.63790.34000.6554
(0.0033)(0.0040)(0.0006)(0.0032)(0.0040)(0.0054)(0.0032)(0.0047)(0.0067)(0.0030)(0.0016)(0.0030)

Out of sample0.03010.03030.03020.04010.04030.04070.06010.06030.06070.06020.06820.0598
(0.0003)(0.0002)(0.0001)(0.0003)(0.0002)(0.0004)(0.0002)(0.0002)(0.0004)(0.0003)(0.0004)(0.0004)
0.04530.04550.04550.05530.05550.05600.07530.07540.07600.07530.08650.0750
(0.0003)(0.0003)(0.0001)(0.0003)(0.0002)(0.0004)(0.0003)(0.0003)(0.0005)(0.0004)(0.0004)(0.0004)
0.17040.17080.17770.22040.22090.22500.32040.32220.32630.32050.38210.3202
(0.0009)(0.0009)(0.0027)(0.0009)(0.0007)(0.0009)(0.0009)(0.0016)(0.0026)(0.0010)(0.0016)(0.0009)
0.32440.32460.32810.37440.37480.37800.47440.48330.48180.47390.55260.4738
(0.0094)(0.0094)(0.0020)(0.0094)(0.0093)(0.0087)(0.0094)(0.0227)(0.0106)(0.0089)(0.0107)(0.0088)
0.30580.30610.31140.35580.35610.36280.45590.45650.46390.46970.54080.4553
(0.0015)(0.0013)(0.0006)(0.0015)(0.0013)(0.0049)(0.0015)(0.0020)(0.0047)(0.0024)(0.0030)(0.0019)
0.50800.50530.51690.55800.55530.56410.65810.65810.66350.63970.75140.6569
(0.0032)(0.0040)(0.0007)(0.0032)(0.0040)(0.0036)(0.0031)(0.0052)(0.0072)(0.0038)(0.0040)(0.0039)