A Constructive Data Classification Version of the Particle Swarm Optimization Algorithm

Table 5

Classification accuracy for PSClass, cPSClass, PPSO, MPSO, AMPSO, naïve Bayes, K-NN, and MLP (ANN).

Database	PSClass	cPSClass	PPSO	MPSO	AMPSO	Naïve Bayes	k-NN	ANN
Iris	91.78±5.16	89.78±3.38	90.89±0.0	96.70±0.0	96.89±0.0	96.00±0.0	96.00±0.0	𝟗𝟕.𝟑𝟔±𝟎.𝟎
Yeast	𝟏𝟎𝟎.𝟎±𝟎.𝟎	𝟏𝟎𝟎.𝟎±𝟎.𝟎	—	—	—	97.56±0.0	98.05±0.0	96.59±0.0
Wine	93.96±1.14	95.0±2.54	—	—	—	96.63±0.0	𝟗𝟕.𝟕𝟓±𝟎.𝟎	97.19±0.0
Glass	59.82±6.84	52.63±8.85	74.34±0.0	86.27±0.0	𝟖𝟔.𝟗𝟒±𝟎.𝟎	49.53±0.0	71.63±0.0	68.37±0.0
Haberman	86.11±4.88	𝟗𝟐.𝟒𝟒±𝟑.𝟏𝟓	—	—	—	74.51±0.0	69.28±0.0	74.18±0.0
Ruspini	99.44±3.04	𝟏𝟎𝟎.𝟎±𝟎.𝟎	—	—	—	98.67±0.0	𝟏𝟎𝟎.𝟎±𝟎.𝟎	𝟏𝟎𝟎.𝟎±𝟎.𝟎
E.coli	79.78±10.44	84.73±6.45	—	—	—	𝟖𝟕.𝟒𝟔±𝟎.𝟎	84.71±0.0	86.85±0.0