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> I also tried ggeffects a while ago and noticed that it does not handle nlme objects (at least as I expected). The function 'nlraa::predict_nlme' produced confidence bands and could be called by 'gge…
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Hi, I have three questions:
# 1/3 Evaluation of searched code:
I use the searched code in results/arc_gpt3.5_results.jsonl, which has Median: 13.7%, Line 147.
But I get a much lower result, 95% Boo…
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Would it be possible to document better the Confidence Interval Output? I was expecting a Tuple with 2 values like in HypothesisTests, but I don't understand how should I interpret the third value.
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Allow to use Confidence Intervals in the learners (see causalml, for example) and also in the evaluation.
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Hello~
Why in the code, the optimization objective is `bootstrap confidence interval`, rather than directly using the `accuracy`?
Thank you.
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Could we get some confidence intervals plotted on the graphs? Some of these results look a bit funky. (Most notably, some methods seem to outperform score under "100% honest" voting, which should be i…
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Until now you can not specify a different confidence Interval for the mean ROC curve, 95% is fixed, in future it would be great if there is an option to change it!
In the function plot_mean_roc():…
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Currently, our benchmarks are a bit messy. They show some points here and there, and there is a huge amount of noise. Criterion gives us nice confidence intervals that we can use. See how to implement…
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Much of our experimental gata is not gaussian distributed. Symmetric standard errors are therefore not accurate. It would therefore be desirable to plot non gaussian asymmetric confidence intervals.
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To better contextualize the bar charts and text in pages that look like the PDF mentioned [here](https://github.com/colorado-cancer-center/ecco/issues/76#issuecomment-2358781322), consider adding conf…