Quiz on LA2

Which of the following best defines feature generation?

• Removing irrelevant features from a dataset

• Creating new features from existing data using domain knowledge and creativity

• Ranking existing features using statistical methods

• Selecting a subset of features based on model performance

Domain expertise is important in feature generation because:

• It automates feature creation

• It helps to identify hidden patterns and relationships meaningful to the problem

• It eliminates the need for machine learning models

• It replaces data preprocessing steps

Which of the following is NOT a feature selection method?

• Filter method

• Wrapper method

• PCA (Principal Component Analysis)

• Decision Trees

In wrapper methods of feature selection, features are selected based on:

• Data visualization

• Intrinsic feature correlation

• Performance of a predictive model

• User input

Which of the following machine learning models provides feature importance scores inherently?

• K-Nearest Neighbors

• Logistic Regression

• Decision Trees

• Naive Bayes

Which of the following is an algorithmic ingredient of a recommendation engine?

• Sorting features alphabetically

• Collaborative Filtering

• Data Encryption

• Frequency Analysis

What is the purpose of dimensionality reduction in recommendation systems?

• To increase the number of features

• To convert categorical data into numerical

• To reduce noise and computation by compressing feature space

• To remove target variables

In the context of spam filtering, the 'bag of words' model is used to:

• Remove duplicate emails

• Store metadata about users

• Represent text data numerically by counting word occurrences

• Group emails into folders

Which evaluation metric is particularly important in spam detection?

• Mean Squared Error

• R² Score

• Precision and Recall

• Silhouette Score

What is the primary purpose of data wrangling in the ML pipeline?

• Encrypting data before training

• Visualizing datasets

• Cleaning, transforming, and organizing raw data into usable format

• Automatically labeling data