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Information Retrieval
Unit 1
Information Retrieval
Introduction to Information Retrieval Algorithms
Indexing Techniques in Information Retrieval
IR Evaluation Metrics Explained
Unit 2
Information Retrieval
Introduction to Information Retrieval Systems
Query Processing in Information Retrieval
Relevance Feedback in Information Retrieval
Unit 3
Information Retrieval
Text Retrieval and Web Search
Clustering and Classification in Information Retrieval
Semantic Search in Information Retrieval
Unit 1 • Chapter 3
IR Evaluation Metrics Explained
Summary
False
Concept Check
What is the true positive rate in this context of IR evaluation metrics?
How often s is predicted as no
False negatives plus false positives divided by total examples
Total correct predictions divided by total predictions
How often yes is predicted as s
What is the misclassification rate in this context of IR evaluation metrics?
True positive plus true negative divided by total examples
Total correct predictions plus total incorrect predictions
Total correct predictions divided by total predictions
Total misclassification divided by total examples
What does accuracy represent in IR evaluation metrics?
How often yes is predicted as s
Total misclassification divided by total examples
Total correct predictions divided by total predictions
Overall correctness of the model
Check Answer
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Indexing Techniques in Information Retrieval