Question 2The "Regression" technique in Machine Learning is a group of algorithms that are used for:1 pointPrediction of class/category of a case; for example, a cell is benign or malignant, or a customer will churn or not.Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer.Predicting a continuous value; for example predicting the price of a house based on its characteristics.

The "Regression" technique in Machine Learning is a group of algorithms that are used for:

What is a linear regression algorithm?Select one:a.A model used to make predictions in supervised learning by fitting a linear equation to the datab.A neural network used in deep learningc.A clustering algorithm used in unsupervised learningd.A tree-like model used to make predictions in supervised learning

What is an example of a regression task in supervised learning?Select one:a.Predicting the price of a house based on its characteristicsb.Determining whether an email is spam or notc.Grouping customers into different segments based on their spending habitsd.Predicting the stock price for the next day based on historical data

Regression…Question 1Select one:a.… deals with the prediction of a data query.… deals with the prediction of a data query.b.… deals with the prediction of user interaction.c.… deals with the prediction of a value.d. … deals with the prediction of errors.e.… deals with the prediction of join operators.

What is the difference between regression and classification?1 pointMachine learning models can be trained to do regression, but not classification.In regression, the input data is structured, but in classification the input data is unstructured.In regression, the correct answers have numerical value, but in classification the correct answers are categories.Machine learning models can be trained to do classification, but not regression.6.Question 6