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SVM-Classification Based On The Multi-Objective Optimization In The Educational Sphere’s Problems

Table 2:

The set of indicators The average error The average support vectors number The set of indicators The average error The average support vectors number The set of indicators The average error The average support vectors number
Ac, Se 0.0 303.12 Ac, P, Sp 0.0 288.28 Ac, Se, Sp, F 0.0 164.32
Ac, P 0.0 375.12 Ac, P, F 0.0 367.14 Ac, Se, Sp, SV 1.0 71.00
Ac, Sp 0.0 269.00 Ac, P, SV 1.5 71.42 Ac, Se, F, SV 2.0 69.04
Ac, F 1.0 82.44 Ac, Sp, F 0.0 286.38 Ac, P, Sp, F 0.0 286.04
Ac, SV 1.0 73.84 Ac, Sp, SV 1.8 73.62 Ac, P, Sp, SV 0.5 106.50
Se, P 0.0 360.26 Ac, F, SV 1.0 94.46 Ac, P, F, SV 1.5 71.44
Se, Sp 0.0 173.66 Se, P, Sp 0.0 208.84 Ac, Sp, F, SV 67.0 174.48
Se, F 0.0 281.12 Se, P, F 0.0 200.68 Se, P, Sp, F 0.0 348.50
Se, SV 1.2 71.00 Se, P, SV 2.0 69.08 Se, P, Sp, SV 2.0 69.04
P, Sp 134.3 298.58 Se, Sp, F 0.0 336.66 Se, P, F, SV 0.9 78.10
P, F 0.0 329.16 Se, Sp, SV 1.0 71.00 Se, Sp, F, SV 21.2 124.50
P, SV 1.5 71.42 Se, F, SV 1.3 70.32 P, Sp, F, SV 1.0 94.46
Sp, F 0.0 193.70 P, Sp, F 0.0 183.12 Ac, Se, P, Sp, F 0.0 304.40
Sp, SV 60.2 146.82 P, Sp, SV 1.5 71.42 Ac, Se, P, Sp, SV 58.6 146.88
F, SV 1.0 72.00 P, F, SV 0.9 78.10 Ac, Se, P, F, SV 1.0 72.00
Ac, Se, P 0.0 165.98 Sp, F, SV 1.5 71.44 Ac, Se, Sp,F SV 1.0 70.92
Ac, Se, Sp 0.0 247.20 Ac, Se, P, Sp 0.0 285.54 Ac, P, Sp, F, SV 0.4 116.44
Ac, Se, F 0.0 311.30 Ac, Se, P, F 0.0 214.60 Se, P, Sp, F, SV 1.0 71.00
Ac, Se, SV 1.3 70.32 Ac, Se, P, SV 2.0 69.00 Ac, Se, P, Sp, F, SV 2.0 69.04
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