Predictive analytics

Machine learning is a

• subset of the artificial intelligence (AI) field

• subset of the sport field

• subset of the beauty field

• subset of the medicine field

Supervised learning is

• a machine learning type

• a data pre-processing step

• a transformation tool

• an outlier detection tool

The attribute that we are interested in predicting is called a/an

• Machine learning

• Algorithm

• Class

• Outlier

When the Class from the nominal type, _______ is the technique to be used

• association rules

• clustering

• regression

• classification

If the Class from the numerical type, _______ technique can be used

• association rules

• clustering

• regression

• classification

_______ constructs a generalization model before receiving any new instances to classify (predict)

• Lazy classification

• Slow classification

• Eager classification

• Fast classification

_______ constructs a generalization model after receiving any new instances to classify (predict)

• Eager classification

• Slow classification

• Fast classification

• Lazy classification

To build a reliable classifier model (predictive model), the learning algorithm (classifier) has to be built only from the clean _______

• test set

• training set

• half of the training set

• half of the test set

Always the size of the training set has to be ______ than the test set

• smaller

• larger

• equal

• lesser

What is the primary purpose of using cross-validation in testing machine learning algorithms?

• To reduce the size of the training set

• To evaluate how well a model generalizes to unseen data

• To increase the complexity of the model

• To eliminate the need for a validation set