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Author: Admin | 2025-04-28
What is Classification in Data Mining?Classification is a data mining function that is used to categorise the data depending on its similarities. The foremost goal of classification is to correctly predict the target class for each point in the data.What is Prediction in Data Mining?In the prediction method, we need to predict the missing data for a new observation, depending on the previous data. Predictive models use comprehended outcomes to create a model that can be used to predict values for new data.What are the differences between Classification and Prediction methods in Data Mining?The prediction technique is used to predict the missing or unavailable value of the dataset, while the classification technique is used to categorise the data, depending on its similarities and to identify the class. The accuracy in prediction relies on how well you guess the value for new data, while in classification, the accuracy relies on identifying the class label accurately. The model used in prediction is known as a predictor, while in classification, it is known as a classifier.
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