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Apprendre Challenge | Multivariate Linear Regression
Explore the Linear Regression Using Python

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Let’s indicate the number of nonflavanoid phenols based on the number of flavanoids, total phenols and evaluate our model.

Your plan:

  1. [Line #24] Split the data 70-30 (70% of the data is for training and 30% is for testing) and insert 1 as a random parameter.
  2. [Line #25-26] Initialize and fit the model (assign the model to the variable model2).
  3. [Line #30-31] Calculate the MAE and assign the result to the variable MAE.
  4. [Line #34-35] Calculate the R-squared and assign the result to the variable r_squared.
  5. [Line #38] Print the intercept, the MAE and the R-squared in this order and round each value to second digit.

Solution

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Section 5. Chapitre 3
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Tâche

Swipe to start coding

Let’s indicate the number of nonflavanoid phenols based on the number of flavanoids, total phenols and evaluate our model.

Your plan:

  1. [Line #24] Split the data 70-30 (70% of the data is for training and 30% is for testing) and insert 1 as a random parameter.
  2. [Line #25-26] Initialize and fit the model (assign the model to the variable model2).
  3. [Line #30-31] Calculate the MAE and assign the result to the variable MAE.
  4. [Line #34-35] Calculate the R-squared and assign the result to the variable r_squared.
  5. [Line #38] Print the intercept, the MAE and the R-squared in this order and round each value to second digit.

Solution

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Tout était clair ?

Comment pouvons-nous l'améliorer ?

Merci pour vos commentaires !

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Completion rate improved to 4.76
Section 5. Chapitre 3
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