Personal Loan Campaign · Decision Tree Classification
Professor Review
A rubric-aligned executive summary of the AllLife Bank personal loan classification project, with evidence links to every page that produced each result.
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Rubric coverage
01
Exploratory Data Analysis (10 pts)
Univariate, bivariate, conversion-by-segment, correlation.
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02
Data Preprocessing (6 pts)
Anomaly treatment, dropped IDs, feature engineering, stratified split.
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03
Model Building (10 pts)
Baseline Decision Tree, metric rationale, confusion matrix.
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04
Model Improvement & Selection (20 pts)
Pre + post pruning, model comparison, final-model rationale.
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05
Insights & Recommendations (6 pts)
Tiered campaign strategy with limitations and governance.
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06
Presentation Quality (8 pts)
Executive review, downloadable PDF, rubric coverage page.
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Evaluator Review
Evaluator review workflow
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