Classification Models in Machine Learning Techniques
Amit Majumder · Advances in systems analysis, software engineering, and high performance computing book series · 2023
Classification is the process of identifying, understanding, and grouping objects and ideas into specified categories. These pre-categorized training datasets are used by machine learning techniques to classify datasets into relevant and acceptable categories. Using the incoming training data, machine learning classifiers assess the chance or probability that the incoming data will fall into one of the established categories. One of categorization's most prominent applications is used by the largest email service providers of today: classifying emails as “spam” or “non-spam.” In essence, classification is a form of “pattern recognition.” Following the application of classification algorithms to the training data, the same pattern (similar number sequences, words, or attitudes, etc.) is found in future data sets. Classification falls within the category of supervised learning in the context of machine learning.