DMC DMC Statistical Methods & Data Mining Concepts 2

Question 1

What does 'standard deviation' represent in a dataset?

Accepted Answer

The measure of spread or dispersion around the mean

Answer

Standard deviation measures how spread out values are around the mean, with a higher value indicating greater variability in the dataset.

Question 2

In data mining, what is 'clustering'?

Accepted Answer

Grouping similar data points together without predefined labels

Answer

Clustering is an unsupervised learning technique that discovers natural groupings of similar data points without using predefined class labels.

Question 3

A confusion matrix is used to:

Accepted Answer

Evaluate the performance of a classification model

Answer

A confusion matrix displays true positives, false positives, true negatives, and false negatives to comprehensively evaluate classification model performance.

Question 4

What does 'precision' measure in a classification model?

Accepted Answer

The ratio of correctly predicted positives to all predicted positives

Answer

Precision measures the proportion of predicted positive cases that are truly positive, indicating how reliable the model's positive predictions are.

Question 5

Which technique is commonly used to handle imbalanced datasets in classification?

Accepted Answer

SMOTE (Synthetic Minority Over-sampling Technique)

Answer

SMOTE generates synthetic examples of the minority class to balance the dataset, improving classifier performance on underrepresented classes.

DMC - Data Mining Certification Practice Test

DMC - Data Mining Certification Practice Test

DMC DMC Statistical Methods & Data Mining Concepts 2