Topic9_10WthQuizFinLAB

What is the first step in a typical data mining process?

• Data cleaning

• Data visualization

• Data mining algorithm selection

• Model deployment

Which of the following best describes supervised learning?

• The algorithm is trained on unlabeled data

• The algorithm learns from labeled data

• The model predicts future data

• The data is unstructured

In supervised learning, the primary goal is:

• To find hidden patterns in data

• To predict the output using labeled data

• To cluster data points

• To reduce data dimensionality

Which of the following is an example of unsupervised learning?

• Decision trees

• K-means clustering

• Linear regression

• Naive Bayes

Which machine learning technique is used to group data into similar categories without predefined labels?

• Classification

• Clustering

• Regression

• Dimensionality reduction

In the k-means clustering algorithm, what does 'k' represent?

• The number of clusters

• The number of features

• The number of outliers

• The number of iterations

What is the main objective of the classification method in machine learning?

• Grouping similar data into clusters

• Predicting continuous values

• Assigning labels to data points based on features

• Reducing the dimensionality of data

Which of the following is a common application of clustering algorithms?

• Stock price prediction

• Image recognition

• Customer segmentation

• Predicting weather patterns

The decision tree algorithm is a type of:

• Supervised learning method

• Unsupervised learning method

• Regression technique

• Dimensionality reduction technique

In k-means clustering, what happens if the value of k is set too high?

• The clusters may become too broad and mixed

• The clusters become too small and less meaningful

• The algorithm fails to converge

• The data becomes overfitted