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25 Qs

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Assessment

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Mathematics

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University

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Practice Problem

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Easy

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Hasih Pratiwi

Used 12+ times

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25 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the purpose of data preprocessing?

To clean and prepare data for analysis

To discover patterns and insights from data

To classify new data based on labeled data

To predict continuous outcome variables

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the main advantage of the K-Nearest Neighbor algorithm?

Simple to understand and implement

Handles both numerical and categorical data

Performs well in multi-class prediction

Provides information about predictor association

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the purpose of feature selection in data mining?

To reduce complexity and improve accuracy

To detect and remove outlier data points

To replace missing data with estimated values

To scale data between 0 and 1

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of Bayes' theorem in the Naive Bayes classifier?

To calculate conditional probabilities

To find the most frequent label

To measure the similarity between data points

To select the nearest neighbors

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is used to measure the fitness of a regression model?

Accuracy

Precision

Recall

R-squared

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the F1 Score measure?

The number of correct predictions out of all positive classes

The number of actual positives from all positive predicted classes

The balance between recall and precision

The true negative rate

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the ROC Curve?

To measure the sensitivity and specificity of a model

To plot the performance of a binary classifier at different threshold values

To calculate the area under the curve

To evaluate the accuracy of a classification model

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