Select ALL that are true from the following O Our goal is to use analytics models that have low bias and relatively high variance for a specfic problem. High variance means the model can vary it's perfomance to provide well-performing results for a variety of datasets. O Models with high bias do not fit the training data well O Models with low bias do not fit the training data well 9 Our goal is to use analytics models that have low bias and relatively low variance for a specfic problem. We seek to find methods that generalize well.

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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Select ALL that are true from the following
O Our goal is to use analytics models that have low bias and relatively high variance for a specfic problem. High variance means the
model can vary it's perfomance to provide well-performing results for a variety of datasets.
O Models with high bias do not fit the training data well
Models with low bias do not fit the training data well
V Our goal is to use analytics models that have low bias and relatively low variance for a specfic problem. We seek to find methods
that generalize well.
Transcribed Image Text:Select ALL that are true from the following O Our goal is to use analytics models that have low bias and relatively high variance for a specfic problem. High variance means the model can vary it's perfomance to provide well-performing results for a variety of datasets. O Models with high bias do not fit the training data well Models with low bias do not fit the training data well V Our goal is to use analytics models that have low bias and relatively low variance for a specfic problem. We seek to find methods that generalize well.
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