For example, you might want to predict a person's political leaning (conservative, moderate, liberal) from sex, age, state of residence and annual income. There are many machine learning techniques ...

In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...

Multi-class logistic regression is a moderately complex technique for multi-class classification problems. The main alternative is to use a neural network classifier with a single hidden layer. A ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

While acceptable thresholds vary depending on the use case, a macro-average F1-score above 0.80 is generally considered good for multi-class text classification. The model’s F1-score of 0.8409 ...