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Nov 18, 2022 at 4:38 comment added Exploring @ÉbeIsaac here sample sizes n1 and n2 are the same. So is the Two Proportion Z-Test will be valid?
Nov 18, 2022 at 4:35 comment added Exploring @ÉbeIsaac how can you apply Two Proportion Z-Test as here the model1 and model2 both executed over the complete inference dataset.
Nov 18, 2022 at 2:31 comment added Exploring @ÉbeIsaac which formula you applied from here? Test of Hypothesis -Concise Formula Summary
Aug 9, 2020 at 11:31 comment added Data Man I like your answer. I wonder about the following though. With binary classification, in practice it is often the case that classes are inbalanced (positives being the minority) and so True Positives are of greater value than True Negatives. This may lead to conclusion that correctly classifying the minority class is a stronger signal of the classifier performance. I wonder whether in such scenario it would be still correct to use the test of proportions that you proposed? Because this test makes no distinction between TP and TN. It treats all those cases equally.
Sep 30, 2018 at 11:44 comment added Ébe Isaac @ShivaTp Indeed. Thanks for pointing the much needed typo correction. Edit confirmed.
Sep 30, 2018 at 11:44 history edited Ébe Isaac CC BY-SA 4.0
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Sep 30, 2018 at 11:02 comment added Frans Rodenburg Though I agree that a test for proportions could be used, there is nothing in the original question that suggests a one-sided test is appropriate. Moreover, "we could say with 95% confidence" is a common misinterpretation. See e.g. here: metheval.uni-jena.de/lehre/0405-ws/evaluationuebung/haller.pdf
Sep 30, 2018 at 10:38 comment added Shiva Tp Shouldn't $\quad\hat p$ be the average of $\hat p_1$ and $\hat p_2$? So the denominator should be 2n in $\quad\hat p= (x_1+x_2)/2n$.
May 20, 2018 at 23:23 review Suggested edits
May 21, 2018 at 0:57
Nov 14, 2017 at 5:31 history edited Ébe Isaac CC BY-SA 3.0
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Nov 14, 2017 at 5:25 history answered Ébe Isaac CC BY-SA 3.0