Please can you break the concept of false true negative-positive down to a layman understanding? Thank you

A true positive is an outcome where the model correctly predicts the positive class -> The model predicts "yes" and the truth is "yes" . A true negative is an outcome where the model correctly predicts the negative class -> The model predicts "no" and the truth is "no" A false positive is an outcome where the model incorrectly predicts the positive class -> The model predicts "yes" and the truth is "no" A false negative is an outcome where the model incorrectly predicts the negative class. -> The model predicts "no" and the truth is "yes" Does this clarify the matter for you?

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Olayemi Hafeez Rufai

Last answered:

05 Feb 2022

Posted on:

03 Feb 2022

Resolved: difference between false negative false positive true negative and true positive

in Data Literacy / Recall and Precision

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Olivier Maugain

Posted on:

05 Feb 2022

Resolved: difference between false negative false positive true negative and true positive

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