Number of hidden layers

(activation function of hidden layers is sigmoid)

Number of hidden layers

(activation function of hidden layers is hyperbolic tangent)

1

(hidden nodes = 3)

2

(hidden nodes in first layer =3, hidden nodes in second layer = 2)

1

(hidden nodes = 3)

2

(hidden nodes in first layer =3, hidden nodes in second layer = 2)

Train SSE

1.266

1.964

25.509

1.286

Train RE

0.004

0.005

0.070

0.004

Training time taken

0:00:00.41

0:00:00.58

0:00:00.10

0:00:00.62

Test SSE

0.647

0.761

7.065

1.198

Test RE

0.006

0.007

0.070

0.012

Holdout RE

0.008

0.009

0.090

0.010