iiitl / iiitl/Logistic-Regression
Clinical zero-value audit for missing placeholders
Open
easy
exploration
good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 16
- PR merge metrics
- No merged PRs in 30d
Description
Count zero values in Glucose, BloodPressure, SkinThickness, Insulin, and BMI.
Report zero percentages in a table and propose a clear handling rule for each of these features.
Contributor guide
Research direction
Start by locating the repository's Jupyter notebook cells that load the clinical dataset and define Glucose, BloodPressure, SkinThickness, Insulin, and BMI. Calculate each feature's zero percentage, present the results in a table, and document one clear handling rule for every feature; completion means all five features are covered.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100