What is repeated stratified k-fold cross-validation? In our previous articles, we discussed k-fold cross-validation, repeated k-fold cross-validation, and stratified k-fold cross-validation. We discussed that in stratified k-fold cross-validation, stratified folds are...
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...
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...
Let’s say we want to solve a classification problem. Now, we can use logistic regression, KNN classifier, decision tree classifier, Gaussian Naive Bayes classifier, Support Vector Machine classifier, etc., to solve the classification problem. We can also create a...
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