Research Article

Probabilistic Adaptive Crossover Applied to Chilean Wine Classification

Table 4

Results obtained for feature selection of Chilean wines using SVM.

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

182.4668.9715086.8468.9721183.3365.52194
284.2165.5214387.7268.9721986.8470.69182
386.8467.2414186.8465.5215986.8465.52152
487.7270.6914086.8467.2421286.8465.52189
581.5868.9716086.8467.2423685.0962.07193
686.8456.9017188.6070.6926387.7267.24203
783.3363.7915488.6067.2420185.9670.69189
885.9665.5221086.8475.8624486.8472.41206
987.7268.9717287.7272.4123488.6070.69181
1087.7267.2422087.7268.9720087.7270.69211
1181.5867.2412782.4667.2420984.2165.52189
1283.3365.5215987.7260.3420187.7268.97195
1385.0967.2422687.7268.9719487.7265.52189
1488.6072.4121385.9670.6918387.7270.69191
1584.2160.3416787.7270.6921386.8472.41188

Average85.1566.44170.2087.0868.74211.9386.6768.28190.13
Stand. dev.2.383.9031.951.463.4425.501.453.1813.40