Machine Learning Quiz

Which of the following is an example of supervised learning?

• K-means clustering

• Linear regression

• Principal Component Analysis (PCA)

• DBSCAN

In which of the following algorithms do we iteratively adjust the model to minimize the error between predicted and actual values?

• Decision Tree

• K-nearest neighbors (KNN)

• Gradient Descent

• Naive Bayes

Which evaluation metric is suitable for classification problems with imbalanced datasets?

• Accuracy

• Mean Squared Error

• Precision-Recall

• Sum of Squared Errors

What is overfitting in machine learning?

• A model that performs well on the training data but poorly on unseen data

• A model that generalizes well to both training and test data

• A model that performs poorly on both training and test data

• A model that uses too little data for training

Which of the following is NOT a type of machine learning?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Pattern matching

Which algorithm is used for clustering tasks?

• Logistic Regression

• K-means

• Random Forest

• Support Vector Machine (SVM)

Which machine learning algorithm is considered a lazy learner?

• Decision Tree

• K-nearest neighbors (KNN)

• Naive Bayes

• Neural Networks

Which of the following is a commonly used activation function in neural networks?

• Linear Function

• ReLU (Rectified Linear Unit)

• Mean Squared Error

• Gradient Descent

Which of the following is an unsupervised learning algorithm?

• Decision Trees

• Logistic Regression

• Principal Component Analysis (PCA)

• Support Vector Machines

What is the purpose of cross-validation in machine learning?

• To improve the computational efficiency of the algorithm

• To assess the generalization ability of a model

• To reduce the number of features in the model

• To increase the complexity of the model