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. 2019 Apr 5;9:5721. doi: 10.1038/s41598-019-40927-6

Table 3.

Number (percent) of predictors for each dimension reduction technique for each model set.

Model Set Original PCA FS PCA-FS
Main 1,700 (100%) 289 (17%) 229 (13.47%) 24 (1.41%)
Specialized 1,700 (100%) 124 (7.29%) 60 (3.53%) 8 (0.47%)
Breed 1,700 (100%) 203 (11.94%) 602 (35.41%) 38 (2.24%)
Tenderness 1,700 (100%) 289 (17%) 67 (3.94%) 16 (0.94%)