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Various Ways of Evaluating Models Learned from Data

Druzdzel, Marek J. (2016) Various Ways of Evaluating Models Learned from Data. In: 2nd Workshop on Advances in Data Science: International Workshop and Networking Event, 11 May 2016 - 14 May 2016, Holny Majera, Poland.

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Abstract

In this talk, I will review various ways of evaluating models learned from data, starting from simple measures, such as accuracy, sensitivity and specificity, through more complex measures, such as ROC curves and calibration curves used in probabilistic systems, and finally confidence intervals over the results obtained from models and over evaluation measures.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Druzdzel, Marek J.druzdzel@pitt.eduDRUZDZEL
Date: 11 May 2016
Date Type: Publication
Event Title: 2nd Workshop on Advances in Data Science: International Workshop and Networking Event
Event Dates: 11 May 2016 - 14 May 2016
Event Type: Conference
Schools and Programs: School of Information Sciences > Information Science
Refereed: No
Date Deposited: 14 Jul 2016 13:56
Last Modified: 01 Nov 2017 12:58
URI: http://d-scholarship.pitt.edu/id/eprint/28606

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