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Table 9 The values considered for hyperparameters for different SVM models

From: How can SHAP values help to shape metabolic stability of chemical compounds?

hyperparameter

Considered values

C

0.0001, 0.001, 0.01, 0.1, 0.5, 1.0, 5.0, 10.0, 15.0, 20.0, 25.0

loss (SVC)

hinge, squared_hinge

loss (SVR)

epsilon_insensitive, squared_epsilon_insensitive

dual

True, False

penalty

11, 12

gamma

[auto, scale] + [10 ** i for i in range (− 6, 0)]

coef0

[10 ** i for i in range (− 6, 0)] + [0.0] + [10 ** i for i in range (− 1, − 7, − 1)]

degree

1
9

tol

1e−05, 0.0001, 0.001, 0.01, 0.1

epsilon

0.0001, 0.001, 0.01, 0.1, 1.0

max_iter

2000

probability

True

  1. The table lists the values of hyperparameters which were considered during optimization process of different SVM models during classification and regression
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Journal of Cheminformatics

ISSN: 1758-2946

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