Data Principles week 4 part 1

Which technique is used to group items by similarity?

• Association Rules

• Regression

• Clustering

• Classification

What technique should be used to discover relationships between actions or items?

• Clustering

• Association Rules

• Classification

• Time Series Analysis

Which technique is appropriate for determining the relationship between the outcome and the input variables?

• Text Analysis

• Time Series Analysis

• Classification

• Regression

If you want to assign known labels to objects, which technique would you use?

• Clustering

• Regression

• Association Rules

• Classification

What technique is used to find the structure in a temporal process?

• Classification

• Regression

• Time Series Analysis

• Clustering

Which technique is suitable for analyzing text data?

• Association Rules

• Classification

• Regression

• Text Analysis

How does the Naïve Bayes algorithm work for predictive modeling?

• By using a set of rules based on probability theory

• By creating a decision tree based on input features

• By finding the line that best fits the data

• By clustering data into different groups based on similarity

How do we evaluate the performance of various analytics models?

• By measuring their accuracy and error rates

• By the number of features they use

• By the time it takes to build the model

• By the color and design of the model's visualization

What are some popular evaluation metrics?

• Precision, recall, and F1 score

• The model's name and creator

• The programming language used to write the model

• The size of the dataset used

How do we perform cross-validations?

• By dividing the dataset into equal parts and rotating the test set

• By using the entire dataset as the test set

• By testing the model only once

• By asking experts to validate the model