Oracle Exam 1Z0-1122-24 Topic 1 Question 4 Discussion

Actual exam question for Oracle's 1Z0-1122-24 exam

Question #: 4
Topic #: 1

[All 1Z0-1122-24 Questions]

In machine learning, what does the term "model training" mean?

AWriting code for the entire program

BPerforming data analysis on collected and labeled data

CAnalyzing the accuracy of a trained model

DEstablishing a relationship between input features and output

Show Suggested Answer

Suggested Answer: D

In machine learning, 'model training' refers to the process of teaching a model to make predictions or decisions by learning the relationships between input features and the corresponding output. During training, the model is fed a large dataset where the inputs are paired with known outputs (labels). The model adjusts its internal parameters to minimize the error between its predictions and the actual outputs. Over time, the model learns to generalize from the training data to make accurate predictions on new, unseen data.

by Zachary at Aug 25, 2024, 07:14 PM

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Celestina

2 months ago

D) Establishing a relationship between input features and output. Bingo! That's the essence of model training, folks. Easy peasy.

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Dahlia

1 months ago

D) Establishing a relationship between input features and output

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Vivan

1 months ago

C) Analyzing the accuracy of a trained model

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Audry

1 months ago

B) Performing data analysis on collected and labeled data

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Yasuko

2 months ago

A) Writing code for the entire program

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Louvenia

3 months ago

C) Analyzing the accuracy of a trained model. Nah, that's model evaluation, not training. Get it right, people!

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Linn

2 months ago

D) Establishing a relationship between input features and output

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Tom

2 months ago

B) Performing data analysis on collected and labeled data

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Audrie

2 months ago

A) Writing code for the entire program

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Clarence

3 months ago

I think 'model training' involves analyzing the accuracy of a trained model to improve its performance.

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Zona

3 months ago

B) Performing data analysis on collected and labeled data. That's more like the data preparation step, not the actual training part.

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Venita

2 months ago

D) Establishing a relationship between input features and output

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Antonette

2 months ago

C) Analyzing the accuracy of a trained model

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Kathrine

2 months ago

B) Performing data analysis on collected and labeled data

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Veronika

2 months ago

A) Writing code for the entire program

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Lynelle

3 months ago

I believe it's more about performing data analysis on collected and labeled data to train the model.

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Erick

3 months ago

I agree with Nichelle. 'Model training' is about establishing that relationship.

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Dominque

3 months ago

A) Writing code for the entire program? Really? That's not what model training is about at all.

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Pearly

3 months ago

D) Establishing a relationship between input features and output. That's the whole point of model training, isn't it?

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Regenia

3 months ago

It's crucial to make sure the model can accurately predict the output based on the input features.

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Zona

3 months ago

Yes, you're right. Model training is all about establishing that relationship.

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Nichelle

3 months ago

I think the term 'model training' means establishing a relationship between input features and output.

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