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Problem 4: Combine a Pipeline with GridSearchCV

Easypython
Learn the Concept: Scikit-learn

Problem Description

Write a Python program that builds a Pipeline with a scaler and a LogisticRegression classifier, then uses GridSearchCV to tune the classifier's regularization strength (C parameter) within the pipeline.

Input

A labeled dataset and a small set of candidate C values.

Output

The best C value found and its Cross-Validation score.

Constraints

  • At least 20 labeled examples.

Example Input

text
(A labeled dataset, C candidates: [0.1, 1, 10])

Example Output

text
Best parameters: {'classifier__C': 1} Best score: 0.88

Concepts Covered

Pipeline, GridSearchCV, parameter naming with __ for pipeline steps.

Related Problems

  • Problem 1: Build a Basic Pipeline
    Easy · python
    Solve Problem
  • Problem 2: Generate and Explore a Synthetic Dataset
    Easy · python
    Solve Problem
  • Problem 3: Build a Pipeline with Imputation, Scaling, and Modeling
    Easy · python
    Solve Problem

Input (stdin)

Output

Run your code to see output here...