I am wondering if there is some correlation between the hyperparameters of two different classifiers.
For example: let's say that we run LogisticRegression
in the data set with the best hyperparameters (by searching through GridSearch
) and want to run another classifier of the type SVC
( SVM
classifier) in one data set, but instead of finding all the hyperparameters with GridSearch
, can we fix some values (or reduce the range to limit the search space for GridSearch
) hyperparameters?
As an experiment, I used qualifiers scikit-learn
such as LogisticRegression
, SVS
, LinearSVC
, SGDClassifier
and Perceptron
to classify some well-known data sets. In some cases, I can see some correlation empirically, but not always for all data sets.
So please help me clarify this point.
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