100% Classification Accuracy Considered Harmful: The Normalized Information Transfer Factor Explains the Accuracy Paradox

Title
100% Classification Accuracy Considered Harmful: The Normalized Information Transfer Factor Explains the Accuracy Paradox
Authors
Keywords
Entropy, Magnetoencephalography, Information entropy, Sports, Forecasting, Human performance, Machine learning, Discrete random variables
Journal
PLoS One
Volume 9, Issue 1, Pages e84217
Publisher
Public Library of Science (PLoS)
Online
2014-01-11
DOI
10.1371/journal.pone.0084217

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