Data used to build a data mining model is called
A)validation data.
B)training data.
C)test data.
D)exploration data.

Question

Quizplus · Accepted Answer

The data used to build a data mining model is called training data. This is the data used to teach the model to recognize patterns and make predictions. Validation data is used to evaluate the accuracy of the model during the training process, and test data is used to evaluate the accuracy of the final model after it has been built. Exploration data refers to the initial data exploration phase, where data is analyzed and cleaned before building a model.

Data Used to Build a Data Mining Model Is Called