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Guide to Multi-Class Classification

Like binary classification, something like predicting 1 or 0, the patient is diabetic or not diabetic, means predicting two classes,  is not the current world scenario. Nowadays, there are N number of categories or classes present if you talk about a particular domain. So to perform classification tasks here, all predictive classification models do not support multi-class classification like Logistic regression, support Vector Machine as those are designed to perform Binary classification and do not support classification tasks more than two classes. In contrast, Decision tree classification, K-nearest neighbour, Naive Bayes Classification and neural network-based models give superior performance for Multi-Class Classification. Difference between Binary and Multi-Class Classificati
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Picture of Vijaysinh Lendave
Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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