__________ is a regression technique that combines multiple weak models to create a strong model by weighting each model's prediction and summing them up.

______________ is a technique used in training neural networks where multiple models are trained and combined to improve performance and robustness

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

Multiple regression models are also known as multivariable/multivariate regression models.

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 two main analysis models that other models build on are:​