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. 2017 Sep 27;5(1):2. doi: 10.1007/s13755-017-0023-z

Table 4.

Feature selection (FS) results of the final combinations

Data set Auto-WEKA Our method
# of times FS was conducted # of times FS selected all features # of times FS selected no feature # of times FS was conducted
Mammographic Mass 4 4 0 0
Car 4 4 0 0
Yeast 2 2 0 0
German credit 3 3 0 0
Diabetic retinopathy debrecen 3 3 0 0
Parkinson speech 4 3 0 1
Abalone 4 4 0 0
Cardiotocography 4 3 0 0
Wine quality 4 4 0 0
KR-vs-KP 2 2 0 0
Arrhythmia 3 1 0 0
Waveform 4 4 0 0
Semeion 5 5 0 0
Shuttle 3 3 0 0
Secom 4 1 0 0
Madelon 4 1 0 4
Arcene 3 3 0 0
Convex 4 4 0 0
KDD09-Appentency 5 0 3 0
Dexter 4 4 0 0
MNIST basic 3 2 0 0
ROT. MNIST + BI 2 2 0 0
Amazon 4 4 0 1
Gisette 4 4 0 0
CIFAR-10-small 3 3 0 0
Dorothea 4 3 1 1
CIFAR-10 3 3 0 0
Total 96 79 4 7