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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