MLP vs. MLP with penalty

MLP (with penalty) Dataset MLP
acc. std. #N acc. std. #N
87.7 8.7 1 appendi 87.6 9.3 0
86.5 5.2 1 australian-statlog 87.0 5.6 1
93.0 8.2 2 bitsymetry15x100 85.0 10.8 2
81.0 17.9 3 bitsymetry20x100 76.0 15.1 2
96.2 1.7 1 breast-cancer-wisconsin-nomis 96.6 1.4 0
93.6 5.1 2 czerniak-trs 96.0 2.7 4
70.1 8.0 11 glass 69.2 10.4 7
82.6 8.9 1 heart-statlog 82.6 6.8 0
84.4 7.1 2 ionosphere 89.4 8.1 3
98.0 4.5 4 iris 94.7 8.2 0
72.2 9.4 1 lbreast-nomis 75.8 5.6 2
69.2 6.7 4 led500 70.8 7.5 0
99.0 1.3 9 parity-10 97.6 1.3 8
95.3 5.4 7 parity-8 96.1 4.8 10
95.2 2.9 1 voting 94.0 3.5 0
97.2 4.8 0 wine 98.3 2.7 0