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Table 6 Baseline architecture

From: Medicare fraud detection using neural networks

Layer type

# of neurons

# of parameters

Input

125

0

Dense

32

4032

Batch normalization

32

128

ReLU activation

32

0

Dropout \(P=0.5\)

32

0

Dense

32

1056

Batch normalization

32

128

ReLU activation

32

0

Dropout \(P=0.5\)

32

0

Dense

1

33

Sigmoid activation

1

0