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...
Logistic regression does not support multiclass classification natively. But, we can use One-Vs-Rest (OVR) or One-Vs-One (OVO) strategy along with logistic regression to solve a multiclass classification problem. As we know, in a multiclass classification problem, the...
What is a One-Vs-Rest (OVR) classifier? The Support Vector Machine Classifier (SVC) is a binary classifier. It can solve a classification problem in which the target variable can take any of two different values. But, we can use SVC along with a One-Vs-Rest (OVR)...
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