Research Article

Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples

Table 2

Results of seven baselines and our model on 10 UCI datasets.

DatasetSVMAdaBoostBinaryLinearLogEasy-SPLSingle-SPLR2SPL

wpbcACC75.080.02176.040.02376.070.00876.330.02576.2076.330.00972.860.01977.580.004
AUC67.100.05473.180.03574.320.06374.220.01371.110.03150.850.01961.000.02874.470.036

wdbcACC92.840.00893.670.02192.880.01893.640.07193.710.04491.340.02994.080.01894.570.006
AUC98.200.05298.620.02198.190.02298.330.03198.380.00796.790.06693.590.03498.680.055

parkinsonsACC84.670.02885.220.03885.570.03784.230.01184.160.03177.490.04182.610.05885.740.022
AUC83.130.03186.220.01484.110.05381.890.00981.260.05483.850.07176.470.01987.430.055

ionosphereACC85.420.02985.970.01785.400.03484.430.06185.230.01976.650.00887.290.01188.370.012
AUC96.650.05797.140.04796.480.06196.910.03196.770.05888.710.01983.390.02297.230.046

heartACC81.820.03382.350.03183.960.00586.630.00487.700.06175.400.01964.170.02189.840.023
AUC81.090.04980.430.01279.840.00982.360.01783.020.03284.220.04550.230.02885.540.046

habermanACC73.070.06273.550.01974.200.02873.510.06673.660.05772.790.01572.240.02574.420.022
AUC63.540.01167.320.01565.910.02368.330.00168.480.06861.470.03958.620.02768.520.003

diabeticACC68.600.02967.590.03767.800.01169.490.01668.760.05554.540.04463.380.02169.910.017
AUC76.530.02276.390.01575.940.00876.920.06476.370.01652.500.04963.770.05477.340.015

creditACC85.820.01685.590.06885.350.03385.630.00585.530.05183.090.06285.180.01185.890.033
AUC88.740.02989.320.01489.460.00989.440.03588.620.02689.030.00385.100.04989.530.061

climateACC91.410.03391.200.05991.480.06491.250.02991.410.01991.060.00692.330.01591.530.055
AUC86.790.01689.480.02383.390.05589.750.03687.720.01889.370.04965.680.04890.410.017

breastACC96.910.03996.820.06496.410.03396.620.01996.450.02692.280.01694.500.01797.130.014
AUC99.400.02399.430.03999.280.00899.280.04699.290.02298.660.03393.630.02899.470.011