Machine Learning Quiz

What is the primary goal of supervised learning?

• To find interesting patterns in data

• To learn a mapping from inputs to outputs

• To discover latent factors

• To perform clustering

Which of the following is an example of unsupervised learning?

• Predicting stock prices

• Clustering users based on behavior

• Image classification

• Email spam filtering

What does the term 'generalization' refer to in machine learning?

• The ability to make predictions on unseen data

• The ability to fit the training data perfectly

• The process of cleaning data

• The method of selecting features

In the context of probability theory, what does Bayes' rule help to compute?

• The probability of independent events

• The joint probability of two events

• The conditional probability of an event

• The variance of a random variable

What is the purpose of dimensionality reduction in unsupervised learning?

• To increase the number of features

• To reduce the complexity of the model

• To project high-dimensional data into a lower-dimensional space

• To classify data into predefined categories

What is overfitting in the context of machine learning?

• The model performs well on training data but poorly on unseen data

• The model generalizes well to new data

• The model has too few parameters

• The model is too simple to capture the underlying patterns

Which algorithm is commonly used for classification tasks?

• Linear Regression

• Support Vector Machine

• K-Means Clustering

• Principal Component Analysis

What is the purpose of cross-validation in model evaluation?

• To increase the size of the training dataset

• To assess how the results of a statistical analysis will generalize to an independent dataset

• To reduce the dimensionality of the data

• To optimize the hyperparameters of the model