We can use the make_regression() function in sklearn to create a dataset that can be used for regression. In other words, we can create a dataset using make_regression() and run a machine learning model on that dataset. The dataset will have a specific number of...

In one of our previous articles, we discussed what an Error Correcting Output Code (ECOC) classifier is and how it works. In this article, we will discuss how to implement an Error Correcting Output Code (ECOC) classifier with a Support Vector Machine Classifier (SVC)...

In our previous article, we discussed what an Error Correcting Output Code (ECOC) classifier is and how it works. In this article, we will discuss how to implement an Error Correcting Output Code (ECOC) classifier with logistic regression using sklearn in Python. We...

What is an Error Correcting Output Code (ECOC) classifier? An Error Correcting Output Code classifier is a multiclass classifier that can use binary classifiers to solve a multiclass classification problem. We know that in a binary classification problem, the target...

The Support Vector Machine Classifier (SVC) does not support multiclass classification natively. But, we can use a One-Vs-One (OVO) or One-Vs-Rest (OVR) strategy with SVC to solve a multiclass classification problem. As we know, in a binary classification problem, the...