A binary classifier can solve binary classification problems by default. For example, logistic regression or a Support Vector Machine classifier can solve a classification problem if the target categorical variable can take any of two different values. But, sometimes...
Let’s say the target variable of a dataset is categorical. It may contain one of three values – A, B, and C. Now, machine learning algorithms like logistic regression or Support Vector Machine Classifiers can solve binary classification problems by default. So, we...
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...
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...
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