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

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

Answer 1

The correct answer is: Predicting a continuous value: for example predicting the price of a house based on its characteristics.Explanation: The "Regression" technique in Machine Learning is used for predicting a continuous value. It is a type of supervised learning algorithm that is used to model and analyze the relationships between a dependent variable and one or more independent variables. The goal of regression is to find the best-fitting line or curve that represents the relationship between the dependent and independent variables. This line or curve is then used to make predictions about the dependent variable based on new values of the independent variables. In the example given, regression can be used to predict the price of a house based on its characteristics such as size, location, and age.

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