Machine Learning Quiz

What is the main goal of supervised learning?

• To find patterns in unlabeled data

• To classify labeled data

• To minimize the entropy of the data

• To cluster similar items

Which of the following is a type of unsupervised learning?

• Regression

• Classification

• Clustering

• Decision Trees

Which machine learning model is most suitable for predicting continuous numerical data?

• Logistic Regression

• Decision Tree

• Linear Regression

• k-Nearest Neighbors

In which scenario would you use logistic regression?

• Predicting house prices

• Predicting binary outcomes (Yes/No)

• Grouping customers into segments

• Reducing dimensionality of features

What does overfitting in machine learning mean?

• The model performs well on the test set but poorly on the training set

• The model performs well on the training set but poorly on the test set

• The model generalizes well to new data

• The model has too few parameters

In which of the following situations would you prefer to use a Recurrent Neural Network (RNN)?

• Image classification

• Predicting stock prices over time

• Grouping news articles into topics

• Predicting house prices based on features

Which of the following algorithms is an example of a supervised learning algorithm?

• k-means clustering

• Support Vector Machines (SVM)

• Principal Component Analysis (PCA)

• Autoencoders

In k-NN (k-nearest neighbors), what does 'k' represent?

• Number of data points to consider

• Number of output classes

• Number of input features

• Number of iterations

Which of the following is a dimensionality reduction technique?

• Random Forest

• Principal Component Analysis (PCA)

• Decision Trees

• Gradient Descent

What is the role of the kernel in Support Vector Machines (SVM)?

• To map data to a higher-dimensional space

• To reduce the number of features

• To solve classification problems using decision trees

• To decrease the computational cost