IMPLEMENTATION ANALYSIS OF IN-PROCESSING ALGORITHMS THAT MEET CRITERIA OF MONOTONIC SELECTIVE RISK ON FAIRNESS AND ACCURACY IN MACHINE LEARNING
The tradeoff between fairness and accuracy is a common issue in machine learning model development, particularly when the data used contains biases. Models that prioritize accuracy often achieve optimal results in terms of predictions but frequently sacrifice fairness. The primary challenge in th...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86174 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |