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Question 284 - MLS-C01 discussion

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A data scientist wants to improve the fit of a machine learning (ML) model that predicts house prices. The data scientist makes a first attempt to fit the model, but the fitted model has poor accuracy on both the training dataset and the test dataset.

Which steps must the data scientist take to improve model accuracy? (Select THREE.)

A.

Increase the amount of regularization that the model uses.

Answers
A.

Increase the amount of regularization that the model uses.

B.

Decrease the amount of regularization that the model uses.

Answers
B.

Decrease the amount of regularization that the model uses.

C.

Increase the number of training examples that that model uses.

Answers
C.

Increase the number of training examples that that model uses.

D.

Increase the number of test examples that the model uses.

Answers
D.

Increase the number of test examples that the model uses.

E.

Increase the number of model features that the model uses.

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E.

Increase the number of model features that the model uses.

F.

Decrease the number of model features that the model uses.

Answers
F.

Decrease the number of model features that the model uses.

Suggested answer: B, C, E

Explanation:

When a model shows poor accuracy on both the training and test datasets, it often indicates underfitting. To improve the model's accuracy, the data scientist can:

Decrease regularization: Excessive regularization can lead to underfitting by constraining the model too much. Reducing it allows the model to capture more complexity.

Increase the number of training examples: Adding more data can help the model learn better and generalize well, especially if the dataset was previously insufficient.

Increase the number of model features: Adding relevant features can help the model capture more predictive information, thus potentially improving accuracy.

Options A, D, and F would either reduce the complexity or impact the generalization capability, which is not desirable in the case of underfitting.

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asked 31/10/2024
Krishan Randitha
42 questions
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