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Lære Challenge: Solving Task Using Bagging Regressor | Commonly Used Bagging Models
Ensemble Learning
course content

Kursusindhold

Ensemble Learning

Ensemble Learning

1. Basic Principles of Building Ensemble Models
2. Commonly Used Bagging Models
3. Commonly Used Boosting Models
4. Commonly Used Stacking Models

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Challenge: Solving Task Using Bagging Regressor

Opgave

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The load_diabetes dataset contains ten baseline variables (age, sex, BMI, average blood pressure, and six blood serum measurements) for 442 diabetes patients. The target variable is a quantitative measure of disease progression one year after baseline. This dataset is used for predicting the continuous variable, representing diabetes progression, based on the given features.

Your task is to use Bagging Regressor to solve the regression problem on load_diabetes dataset:

  1. Use a simple LinearRegression model as the base model of the ensemble.
  2. Use the BaggingRegressor class to create an ensemble.
  3. Use Mean Squared Error(MSE) to evaluate the results.

Løsning

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Var alt klart?

Hvordan kan vi forbedre det?

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Sektion 2. Kapitel 4
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book
Challenge: Solving Task Using Bagging Regressor

Opgave

Swipe to start coding

The load_diabetes dataset contains ten baseline variables (age, sex, BMI, average blood pressure, and six blood serum measurements) for 442 diabetes patients. The target variable is a quantitative measure of disease progression one year after baseline. This dataset is used for predicting the continuous variable, representing diabetes progression, based on the given features.

Your task is to use Bagging Regressor to solve the regression problem on load_diabetes dataset:

  1. Use a simple LinearRegression model as the base model of the ensemble.
  2. Use the BaggingRegressor class to create an ensemble.
  3. Use Mean Squared Error(MSE) to evaluate the results.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 2. Kapitel 4
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
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