Research Article

Probabilistic Adaptive Crossover Applied to Chilean Wine Classification

Table 5

Results obtained for feature selection of Chilean wines using LDA.

RunMixedPAXDiscrete
Train./valid. (%)Test. (%)N ° Char.Train./valid. (%)Test. (%)N ° Char.Train./valid. (%)Test. (%)N ° Char.

196.4974.144396.8470.694896.4967.2427
291.2370.694599.1272.414397.3770.6926
394.7468.973999.1275.864392.9862.0723
496.4965.527394.7470.694295.6174.1428
594.7475.8641100.0072.415496.4975.8635
697.3775.865498.2572.414894.7467.2430
796.4970.693698.2575.865092.9870.6930
893.8670.695396.4967.244793.8675.8635
995.6170.693699.1270.695395.6170.6931
1089.4767.243995.6167.244697.3772.4128
1190.3575.8622100.0074.144898.2565.5226
1289.4772.413197.3767.245396.4968.9727
1392.1168.9729100.0074.144294.7470.6938
1490.3575.862295.6172.414291.2368.9722
1592.1172.413096.4974.144693.8675.8652

Average93.3971.7239.5397.8071.8447.0095.2070.4630.53
Stand. dev.2.813.3113.281.772.894.161.964.017.40