Predictive Analytics Quiz

What is the main objective of predictive analytics?

• Descriptive analysis

• Classifying data

• Predicting future outcomes

• Data visualization

Which of the following is an example of feature engineering?

• Splitting data into training and test sets

• Removing duplicates from the dataset

• Creating a new variable by combining two features

• Normalizing the data

Which algorithm is commonly used for classification problems?

• Linear regression

• Logistic regression

• PCA

• K-Means Clustering

Which of the following is an ensemble method?

• Decision Trees

• Support Vector Machines

• Random Forest

• K-Means

What is the purpose of the train-test split in machine learning?

• To increase model complexity

• To validate model performance on unseen data

• To clean the dataset

• To remove outliers

Which of the following metrics is used for evaluating the performance of a binary classifier?

• Mean Squared Error

• AUC-ROC

• Adjusted R-Squared

• Variance Inflation Factor

What does the Gradient Descent algorithm aim to minimize?

• Feature importance

• Learning rate

• Cost function

• Number of features

Which of the following methods is used to reduce dimensionality in a dataset?

• K-Means

• PCA (Principal Component Analysis)

• Decision Trees

• Random Forests

In which of the following applications would clustering be most useful?

• Predicting customer churn

• Grouping customers based on purchasing behavior

• Classifying emails as spam or not spam

• Forecasting sales

Which of the following techniques focuses on reducing the bias in weak learners to improve performance?

• Bagging

• Boosting

• Cross-Validation

• Regularization