Resolved: difference between false negative false positive true negative and true positive
Please can you break the concept of false true negative-positive down to a layman understanding? Thank you
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A true positive is an outcome where the model correctly predicts the positive class -> The model predicts "yes" and the truth is "yes"
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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?