What is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA) in machine learning?

Which type of machine learning algorithm is used for classification tasks, such as spam email detection?

A. Linear Regression

B. K-Means Clustering

C. Decision Tree

D. Logistic Regression

In machine learning, what does the term "overfitting" refer to?

A. The model performs well on the test data

B. The model fits the training data perfectly

C. The model fails to generalize

D. The model is too simple to learn patterns

Which machine learning algorithm is commonly used for unsupervised learning and is used for clustering data points?

A. Support Vector Machine (SVM)

B. K-Means Clustering

C. Random Forest

D. Linear Regression

What is the primary goal of a decision tree algorithm in machine learning?

A. To minimize errors on the training data

B. To create a linear regression model

C. To visualize data relationships

D. To classify data points into categories