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Questions and Answers
In the context of machine learning, what is the process called when the classes to which the objects belong are known?
In the context of machine learning, what is the process called when the classes to which the objects belong are known?
- Simple linear regression
- Bivariate relationship
- Unsupervised learning
- Supervised learning (correct)
What is the goal of determining the decision boundary in machine learning classification?
What is the goal of determining the decision boundary in machine learning classification?
- To make it as simple as possible (correct)
- To make it dependent on unsupervised learning
- To make it dependent on bivariate relationships
- To make it as complex as possible
What is the process of using data to determine the best features for a classifier known as?
What is the process of using data to determine the best features for a classifier known as?
- Bivariate relationship analysis
- Simple linear regression
- Unsupervised learning
- Training the classifier (correct)
What do we call the relationship between two random variables, with one variable being the independent variable and the other being the dependent variable?
What do we call the relationship between two random variables, with one variable being the independent variable and the other being the dependent variable?
When trying to predict one variable using another variable, what is the variable being predicted known as?
When trying to predict one variable using another variable, what is the variable being predicted known as?
Classification is the stage that assigns objects to certain ______
Classification is the stage that assigns objects to certain ______
The decision boundary in classification should be as ______ as possible
The decision boundary in classification should be as ______ as possible
When the classes to which the objects belong are known, the process is called ______ learning
When the classes to which the objects belong are known, the process is called ______ learning
The process of using data to determine the best features for a classifier is known as training the ______
The process of using data to determine the best features for a classifier is known as training the ______
The relationship between two random variables, with one variable being the independent variable and the other being the dependent variable, is known as a ______ relationship
The relationship between two random variables, with one variable being the independent variable and the other being the dependent variable, is known as a ______ relationship
What is the difference between supervised learning and unsupervised learning in machine learning classification?
What is the difference between supervised learning and unsupervised learning in machine learning classification?
What is the process of determining the best features for a classifier known as in the context of machine learning?
What is the process of determining the best features for a classifier known as in the context of machine learning?
Define the bivariate relationship in the context of two random variables.
Define the bivariate relationship in the context of two random variables.
Provide an example of a bivariate relationship in a medical context.
Provide an example of a bivariate relationship in a medical context.
What is the goal of the decision boundary in machine learning classification?
What is the goal of the decision boundary in machine learning classification?
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