An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.
What is the purpose of the training data set?
An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.
What is the purpose of the training data set?
The purpose of the training data set is to build the predictive models. The training data is used by the machine learning algorithm to learn patterns and make predictions. It forms the basis from which the model learns and optimizes its parameters.
Pretty sure answer is D. Test and Validation help ensure, unbiased measurements. Testing data literally helps build the model.
Meant *"training data" literally helps build the model.
I agree with PerkDizzle.This question is asking for Training Data
Yes, the model is built on Trainin Data and assessed on Validation Data. Naswer is "D"