iiitl / iiitl/Logistic-Regression

Outcome balance and naive baseline check

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easy exploration good first issue
Dominant language
Jupyter Notebook
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Forks
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Description

Compute Outcome class counts and percentages, then calculate majority-class baseline accuracy.
Explain in 4 points why accuracy alone is insufficient for this dataset.

Contributor guide

Open the contributing guide

Research direction

Open the repository's notebook and locate the Outcome column and the existing model or dataset analysis. Add the class counts, percentages, majority-class baseline accuracy, and four points explaining why accuracy alone is insufficient; verify that the reported values match the dataset.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
data, machine-learning
Issue type
Feature
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
55/100

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