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Table 1 Range of hyperparameter searched in the CNN classifier

From: Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

Name of hyperparameter

Lower limit

Upper limit

Initial learning rate

1e-7

1e-3

Dropout rate

0.4

1.0

# of convolutional layers

1

2

# of convolutional kernels

80

300

The width of convolution kernels

2

3

The width of pooling filters

2

3

# of fully connected layers

1

3

# of units in a fully connected layer

100

300