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🧪 06 — Exercises: Classification

Exercise 1 — Logistic Regression

Use load_breast_cancer().

Tasks:

  • split with stratify=y
  • train Logistic Regression pipeline
  • print accuracy and classification report

Exercise 2 — Compare Models

Compare:

  • Logistic Regression
  • KNN
  • Decision Tree
  • Random Forest

Exercise 3 — Threshold Tuning

Use predicted probabilities and compare thresholds:

  • 0.3
  • 0.5
  • 0.7

Observe precision and recall.

Exercise 4 — Business Interpretation

Write which metric matters most for:

  • fraud detection
  • disease screening
  • spam detection

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➡️ Clustering Techniques