iiitl / iiitl/Logistic-Regression

Feature distribution by Outcome class

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exploration medium
Dominant language
Jupyter Notebook
Stars
0
Forks
16
PR merge metrics
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Description

Compare Outcome 0 vs Outcome 1 distributions for at least 5 important features using clear plots.
Summarize which features show strongest class separation and where overlap is high.

Contributor guide

Open the contributing guide

Research direction

Start by locating the project notebook and reviewing the Outcome column and existing feature analysis. Create clear distribution plots for at least five important features, compare Outcome 0 with Outcome 1, and summarize the strongest class separation and areas of overlap.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
data-visualization, machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
58/100

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