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Lære Challenge | Multivariate Linear Regression
Explore the Linear Regression Using Python
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Kursinnhold

Explore the Linear Regression Using Python

Explore the Linear Regression Using Python

1. What is the Linear Regression?
2. Correlation
3. Building and Training Model
4. Metrics to Evaluate the Model
5. Multivariate Linear Regression

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Challenge

Oppgave

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 5. Kapittel 3
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book
Challenge

Oppgave

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.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 5. Kapittel 3
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Vi beklager at noe gikk galt. Hva skjedde?
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