From 5bcfc065265486072139cff3577329ee4657465b Mon Sep 17 00:00:00 2001 From: FAQ Bot Date: Sun, 13 Sep 2026 08:23:56 +0000 Subject: [PATCH] NEW: How should I interpret the project completion rate, pass rate, and fail --- ...a534_ml-zoomcamp-project-outcomes-interpretation.md | 10 ++++++++++ 1 file changed, 10 insertions(+) create mode 100644 _questions/machine-learning-zoomcamp/projects/018_983dc8a534_ml-zoomcamp-project-outcomes-interpretation.md diff --git a/_questions/machine-learning-zoomcamp/projects/018_983dc8a534_ml-zoomcamp-project-outcomes-interpretation.md b/_questions/machine-learning-zoomcamp/projects/018_983dc8a534_ml-zoomcamp-project-outcomes-interpretation.md new file mode 100644 index 00000000..4b61b001 --- /dev/null +++ b/_questions/machine-learning-zoomcamp/projects/018_983dc8a534_ml-zoomcamp-project-outcomes-interpretation.md @@ -0,0 +1,10 @@ +--- +id: 983dc8a534 +question: How should I interpret the project completion rate, pass rate, and fail + rate shown for the ML Zoomcamp projects page? +sort_order: 18 +--- + +The “Pass” and “Failed” numbers (and the pass/fail percentages) reflect outcomes for the evaluated project submissions. “Total Project Outcomes Evaluated” is the total count of projects that were actually reviewed/grading. + +The “Project completion rate” shown in the left panel is different: it represents the percentage of *all enrolled* students who completed the project (regardless of whether they later passed or failed). So it’s normal for this percentage to be lower than the pass rate, since many enrolled students may not submit a project at all. \ No newline at end of file