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Linear regression assumes [blank1] between independent variables and the dependent variable. The residuals should be [blank2] distributed with constant variance. [response_blank1] [response_blank2]

[blank1] impurity measures the probability of incorrectly classifying a randomly chosen element, with 0 representing a pure node. Decision trees are prone to [blank2] when they grow too deep and learn training data too well. [response_blank1] [response_blank2]

Random Forests introduce randomness by selecting a random subset of [blank1] at each split. The [blank2] hyperparameter controls the number of trees in the forest. [response_blank1] [response_blank2]

Explain the fundamental difference between bagging and boosting ensemble methods. How does each approach reduce prediction error?

Feature scaling is important because algorithms like [blank1] and SVM are sensitive to the scale of input features. Without scaling, features with larger [blank2] can dominate the model. [response_blank1] [response_blank2]

Language and Literature Year 1 Unit 1 Assessment (2).pdf Guiding Question: To what extent is Lux brand communicating societal values and beliefs through specific visual and textual features in order to sell a product? Handwrite a response (unless you have typing accommodations, in which case write the response below).  

______ is a small group of people, with complementary skills, committed to a common set of goals and tasks. 

What is the language of management?

The overall goal of quality tools is ___________________________.

Match the stages of development for a team to what happens during that stage.