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Table 2 Experimental configurations of AeKNN

From: Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms

Model

Number of hidden layers

Number of neurons per layer

Architecture \({l_i}^n\)

Layer 1

Layer 2

Latent layer

Layer 4

Layer 5

AeKNN1

1

–

–

32

–

–

(32)

AeKNN2

1

–

–

16

–

–

(16)

AeKNN3

1

–

–

8

–

–

(8)

AeKNN4

3

32

–

16

–

32

(32,16,32)

AeKNN5

5

32

16

8

16

32

(32,16,8,16,32)

  1. The best ones are highlighted in bold