What is repeated k-fold cross-validation? In our previous article, we discussed what k-fold cross-validation is, how it works, and how to perform k-fold cross-validation using the sklearn Python library. In the repeated k-fold cross-validation algorithm, the k-fold...
We can use joblib to save or load a machine learning model. We can train a machine learning model and then, save it in a file. After that, we can load the model from the saved file at any time and test or evaluate the model. For example, we can use the following...
After training a machine learning model, we often need to save the model so that later we can load the model and use it without training it again. We can use the Python module pickle for that purpose. Let’s say we are reading the Pima Indians Diabetes dataset. The...
In randomized search parameter tuning, a randomized search is performed on hyperparameters. Hyperparameters are parameters that are passed as arguments to the constructor of the estimator. For example, in Lasso regression, the parameter alpha can be considered as a...
Hyperparameters are parameters that are passed as arguments to the constructor of the estimator. For example, in Lasso regression, the parameter alpha can be considered as a hyperparameter. We can tune these hyperparameters to optimize the performance of our model. In...
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