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Decision Threshold in ML - Python Automation and Machine Learning for ICs - - An Online Book: Python Automation and Machine Learning for ICs by Yougui Liao - |
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Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= Bias, see page3352, can exist in decision thresholds, e.g. threshold setting in classification. In binary classification, a common practice is to set a threshold at 0.5 to decide between two classes. However, this might not be fair for all groups. Bias Introduction: Using a single threshold might lead to higher false positive rates for some groups compared to others if the data distribution varies across groups. Mitigation of bias:
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