d) Suppose you have used machine learning techniques to develop two alternative models designed to decide whether or not to drill for oil. Both models show an 85% test set classification correctness. The majority of errors made by model A are False accepts, whereas the majority of errors made by model B are False rejects. Which model should you choose? Justify your answer.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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d) Suppose you have used machine learning techniques to develop two alternative models designed to
decide whether or not to drill for oil. Both models show an 85% test set classification correctness.
The majority of errors made by model A are False accepts, whereas the majority of errors made by
model B are False rejects. Which model should you choose? Justify your answer.
Transcribed Image Text:d) Suppose you have used machine learning techniques to develop two alternative models designed to decide whether or not to drill for oil. Both models show an 85% test set classification correctness. The majority of errors made by model A are False accepts, whereas the majority of errors made by model B are False rejects. Which model should you choose? Justify your answer.
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