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Deep learning in Python : evaluating models for social science.

Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses the limitations of using the accuracy metric to evaluate predictive performance and suggests precision and recall metrics to deal with type I and type II errors.

Bibliographic Details
Other Authors: Barari, Soubhik (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Series:Deep Learning in Python ; 13.
Subjects:
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Python (Langage de programmation)
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Machine learning
Online Access:Connect to this streaming video
Description
Summary:Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses the limitations of using the accuracy metric to evaluate predictive performance and suggests precision and recall metrics to deal with type I and type II errors.
Physical Description:1 online resource (1 video file (00:04:26)) : sound, colour.
ISBN:9781526494948
1526494949