Howtosignalprocessing
Classification is a data mining function that assigns items in a collection to target categories or classes. The goal of classification is to accurately predict the target class for each case in the data. For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks.
- What are classification tasks?
- What is the task of classification explain with examples?
- What are the classification of tools for data mining?
What are classification tasks?
Classification tasks are one of the specialties of neural network models. In cosmic ray classification tasks, feed-forward neural networks rely on their powerful prediction capabilities to predict unlabeled new data after they have some labeled datasets.
What is the task of classification explain with examples?
Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. An easy to understand example is classifying emails as “spam” or “not spam.”
What are the classification of tools for data mining?
There are several data mining tasks such as classification, prediction, Outlier detection, clustering, Regression and Decision Tree etc. All these tasks are either fall in predictive data mining tasks or descriptive data mining tasks.
