What is the process of dividing the data into a training set and a test set called?Select one:a.Splittingb.Partitioningc.Samplingd.Segmenting

Which function in scikit-learn is used to split data into training and testing sets?Answer areatrain_test_split()split_data()data_split()train_test()

1.Question 1The main purpose of splitting your data into a training and test sets is: 1 pointTo improve accuracyTo avoid overfittingTo improve regularizationTo improve crossvalidation and overfitting

Regarding splitting datasets into training, validation, and test partitions, which ofthe following statements is true, if any?(i) The validation set is used multiple times to choose the best value forhyperparameters.(ii) The test set is used only once to determine the performance on unseen data.(iii) Improving performance on the validation set always improves performance onthe test set.

What is the process of selecting a subset of data for analysis called?Select one:a.Filteringb.Samplingc.Normalizingd.Cleaning

The _________ is a subset of the larger dataset, and it serves to provide the algorithm with a rudimentary understanding of the problem, solution, and data points to be handled.a)validation datasetb)accuracy scorec)test datasetd)interpretation datasete)training dataset