Machine Learning: Classification Process

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What is the primary goal of unsupervised machine learning?

To extract models describing important data classes

To classify data into predefined categories

To discover hidden patterns in data (correct)

To predict continuous-valued functions

What is the term for the type of machine learning that involves predicting categorical labels?

Regression

Classification (correct)

Association

Clustering

What is an example of a multiclass target in classification?

Passed or failed

Yes or no

Low, medium, high (correct)

0 or 1

What is the term for the type of machine learning that involves predicting continuous-valued functions?

Regression Signup and view all the answers

What is the term for the type of machine learning that involves discovering hidden patterns in data?

Unsupervised learning Signup and view all the answers

What is an example of a supervised machine learning problem?

A bank loans officer wants to analyze data to learn which loan applicants are safe and which are risky Signup and view all the answers

What is the term for the type of unsupervised learning method that involves grouping similar data points?

Clustering Signup and view all the answers

What is an example of a regression problem?

A marketing manager wants to predict how much a customer will spend during a sale Signup and view all the answers

What is the primary difference between supervised and unsupervised machine learning?

The presence or absence of a predetermined objective function Signup and view all the answers

Which type of machine learning is used for classification and prediction?

Supervised learning Signup and view all the answers

What is the purpose of an objective function in supervised machine learning?

To identify the relationships between dependent and independent variables Signup and view all the answers

What is the primary task of unsupervised machine learning?

To identify patterns and relationships in data Signup and view all the answers

What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?

Prediction Signup and view all the answers

Which type of machine learning is used for clustering?

Unsupervised learning Signup and view all the answers

What is the role of the knowledge engineer and system designer in supervised machine learning?

To control the learning process Signup and view all the answers

What is the primary characteristic of unsupervised machine learning algorithms?

They do not have a predetermined objective function Signup and view all the answers

What is another term used to refer to individual rows in the training set during the classification process?

Samples Signup and view all the answers

Why might the classifier's performance be overly optimistic if evaluated on the training set?

Overfitting to the training data Signup and view all the answers

Which term describes the learning phase where the model builds by analyzing a training set?

Supervised learning Signup and view all the answers

In the context of classification, what type of value does the class label attribute have?

Nominal Signup and view all the answers

What is the purpose of using a test set in the classification process?

To estimate predictive accuracy Signup and view all the answers

Which type of learning involves the provision of class labels for training rows?

Supervised learning Signup and view all the answers

What is overfitting in the context of classification models?

The model adapts too closely to the training set Signup and view all the answers

Which step occurs after the classifier model has been built in the classification process?

Model Evaluation Signup and view all the answers

Machine Learning: Classification Process

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Questions and Answers

What is the primary goal of unsupervised machine learning?

What is the term for the type of machine learning that involves predicting categorical labels?

What is an example of a multiclass target in classification?

What is the term for the type of machine learning that involves predicting continuous-valued functions?

What is the term for the type of machine learning that involves discovering hidden patterns in data?

What is an example of a supervised machine learning problem?

What is the term for the type of unsupervised learning method that involves grouping similar data points?

What is an example of a regression problem?

What is the primary difference between supervised and unsupervised machine learning?

Which type of machine learning is used for classification and prediction?

What is the purpose of an objective function in supervised machine learning?

What is the primary task of unsupervised machine learning?

What is the term for the process of applying a supervised machine learning model to data for which the target value is unknown?

Which type of machine learning is used for clustering?

What is the role of the knowledge engineer and system designer in supervised machine learning?

What is the primary characteristic of unsupervised machine learning algorithms?

What is another term used to refer to individual rows in the training set during the classification process?

Why might the classifier's performance be overly optimistic if evaluated on the training set?

Which term describes the learning phase where the model builds by analyzing a training set?

In the context of classification, what type of value does the class label attribute have?

What is the purpose of using a test set in the classification process?

Which type of learning involves the provision of class labels for training rows?

What is overfitting in the context of classification models?

Which step occurs after the classifier model has been built in the classification process?

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