5 Questions
Supervised learning is a type of learning where the training data is accompanied by labels indicating the class of the observations. What is the purpose of the labels?
To predict the class of the observations
What is the main difference between supervised and unsupervised learning?
Supervised learning requires labeled data, while unsupervised learning does not
What is the aim of unsupervised learning?
To establish the existence of clusters in the data
What is the process of classifying new data based on the training set called?
Classification
Which algorithm is commonly used for classification based on decision trees?
Rule based classifier
Test your knowledge on the basic concepts of classification in data mining and warehousing. Explore topics such as supervised vs. unsupervised learning, classification and regression, decision tree induction, naive Bayes classifier, rule-based classifier, and model evaluation.
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