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Residuals

If we look at the plot that shows the dependence of flavanoids on the number of phenols, it will be obvious that the use of linear regression, in this case, was not entirely correct. Moreover, how do we interpret how good our prediction is?

Some points will lie on our constructed line, and some will lie away from it. We can measure the distance between a point and a line along the y-axis. This distance is called the residual or error. The remainder is the difference between the observed value of the target and the predicted value. The closer the residual is to 0, the better our model performs. Let's calculate the residuals and present them as a chart.


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residuals = Y_test - y_test_predicted

# Visualize the data 
ax = plt.gca() 
ax.set_xlabel('total_phenols') 
ax.set_ylabel('residuals') 
plt.scatter(X_test, residuals) 
plt.show()

Output:

Our residuals formed three almost straight lines. This distribution is a sign that the model is not working. Ideally, the remains should be arranged symmetrically and randomly around the horizontal axis. Still, if the residual graph shows some pattern (linear or non-linear), it means that our model is not the best.

Oppgave

Swipe to start coding

Try to find residuals to our previous challenge:

[Line #29] Define the variable y_test_predicted as predicted data for X_test.
[Line #30] Assign the difference between variables Y_test and y_test_predicted to the residuals.
[Line #31] Print the variable residuals.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

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Seksjon 4. Kapittel 1

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Residuals


              12345678
            
residuals = Y_test - y_test_predicted

# Visualize the data 
ax = plt.gca() 
ax.set_xlabel('total_phenols') 
ax.set_ylabel('residuals') 
plt.scatter(X_test, residuals) 
plt.show()

Output:

Oppgave

Swipe to start coding

Try to find residuals to our previous challenge:

[Line #29] Define the variable y_test_predicted as predicted data for X_test.
[Line #30] Assign the difference between variables Y_test and y_test_predicted to the residuals.
[Line #31] Print the variable residuals.

Løsning

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor

Alt var klart?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 1

Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor