Classification Is A Data Mining Task That Maps The Data Into
| 1 | One of several predefined classes |
| 2 | Two predefined classes |
| 3 | Only single predefined classes |
| 4 | None |
Answer: A
Explanation:
Classification is learning a function that maps (classifies) a data item into one of several predefined classes. Clustering is a common descriptive task where one seeks to identify a finite set of categories or clusters to describe the data.
More Related MCQs on Data Mining
FAQ
What is classification in data mining?
Classification is the problem of identifying to which of a set of categories (subpopulations), a new observation belongs to, on the basis of a training set of data containing observations and whose categories membership is known.
Is classification a data mining task?
There are a number of data mining tasks such as classification, prediction, time-series analysis, association, clustering, summarization etc. A retailer trying to identify products that are purchased together can be considered as a descriptive data mining task.
What is the task of data mining?
Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions.
What is classification in data mining Javatpoint?
Classification is one of the most important tasks in data mining. It refers to a process of assigning pre-defined class labels to instances based on their attributes. There is a similarity between classification and clustering, it looks similar, but it is different.