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Predictive Data Mining: Classification Tasks

Authored by naz shah

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Predictive Data Mining: Classification Tasks
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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of predictive modeling?

To reduce the number of variables in a dataset

To classify data into multiple categories

To predict future observations of an unknown outcome variable

To create visual representations of data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method is used to evaluate the performance of a classification model?

Data sampling

Data preparation

Data partitioning

Performance measures

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does k-fold cross-validation help to reduce?

Overfitting of models

The size of the dataset

The complexity of the model

The number of features

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the context of classification, what does the term 'sensitivity' refer to?

The ability to correctly identify Class 0 observations

The likelihood of misclassifying observations

The proportion of actual Class 1 observations correctly identified

The overall error rate of the model

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of regularization in classification methods?

To improve data visualization

To enhance the model's interpretability

To avoid overfitting

To increase the model complexity

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of logistic regression?

It requires no training data

It is a type of unsupervised learning

It uses a linear function to estimate probabilities

It predicts continuous outcome variables

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a confusion matrix display?

The relationship between input features

The model's correct and incorrect classifications

The overall performance of the model

The training and validation sets

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