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AI_ML

Authored by UZMA SARDAR

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary objective of linear regression in machine learning?

Classification

Clustering

Pridiction

Feature extraction

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Question: What does the term "residuals" refer to in the context of linear regression?

Independent variables

Predicted values

Errors or the differences between observed and predicted values

Training data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a simple linear regression model, what does the intercept represent?

The value of the dependent variable when the independent variable is zero

The slope of the regression line

The average value of the dependent variable

The correlation coefficient

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of supervised learning?

The model operates without any input labels.

The primary goal is anomaly detection.

The model learns from labeled data.

Clustering is a common technique.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of learning is associated with clustering algorithms?

  • Supervised learning

  • Reinforcement learning

  • Semi-supervised learning

  • Unsupervised learning

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