10 Questions
Which of the following topics is related to classifying with probability theory?
Logistic regression
For a woman who works at an office, which app is recommended?
Between Gender and Occupation, which one seems more decisive for predicting what app the users will download?
Occupation
Between a horizontal and a vertical line, which one is more likely to cut the data better?
Vertical line
In the given dataset, which split is likely to separate the data points into two distinct groups based on the feature X2?
Split 1
In non-parametric estimation, what does it mean for a model to be non-parametric?
The number of parameters is not fixed and can grow depending on the size of the data
What does a decision tree implement?
A hierarchical data structure implementing the divide-and-conquer strategy
What method does the ID3 algorithm use for selecting the best attribute?
Choosing the attribute that has the largest expected information gain
In decision tree learning, when should you use a decision tree?
At any scenario where learning data has attribute value pairs
What is a common way to measure impurity in decision tree learning?
Minimizing entropy
Test your knowledge of machine intelligence topics covered in Lecture #3 of CSCI417 course, such as machine learning basics, k-nearest neighbors, decision trees, naive Bayes, logistic regression, support vector machines, model evaluation, ensemble learning, and more.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
