The confusion matrix that is generated can be as tall and wide as is necessary, holding any desired number of classes, but for the purposes of simplicity, we’ll examine a 2 x 2 confusion matrix for a ...

Hierarchical Multi-label Text Classification (HMTC) is an important and challenging task in the field of natural language processing (NLP). For example, the automatic classification of complaint texts ...

Other common classification techniques include standard logistic regression ... one to compute the confusion matrix/table and one to display the matrix because exactly how you want to display your ...

In wearable and implantable medical-sensor applications, low-energy classification systems are of importance for deriving high-quality inferences locally within the device. Given that sensor ...