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Table 1 The mean number of finally selected PCSNPs by each of the five feature selection methods and their resulting accuracy as well as the accuracy provided by using the entire swine SNPs in the data set

From: Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique

MethodPCSNPsAccuracy (%)
 LinearRBFLinearRBF
Whole SNPs10,21010,21095.66±1.2895.66±1.28
 (100%)(100%)  
IG+GA207.70 ±42.71209.90 ±37.5795.27 ±1.5794.88 ±1.11
 (2.03%)(2.06%)  
IG+modified GA319.10 ±104.02310.70 ±84.8995.74 ±1.4795.35 ±1.42
 (3.13%)(3.04%)  
IG413.30 ±88.22410.30 ±88.2295.43 ±1.5395.58 ±1.51
 (4.05%)(4.05%)  
IG+FFS240.80 ±15.33240.80 ±15.3395.58 ±1.2795.66 ±1.22
 (2.36%)(2.36%)  
IG+modified GA+FFS164.90±36.11164.90±36.1194.81 ±1.4695.12 ±1.55
 (1.62%)(1.62%)