ML QUIZ WS2324

The algorithm is trying to find a suitable day for swimming. What is the most general hypothesis?

• Every day is a positive example
• A sunny day is a positive example
• No day is a positive example
• A rainy day is a positive example

K-Nearest Neighbors (KNN) is classified as what type of machine learning algorithm?

• Instance-based learning
• Non-parametric learning
• Model-based learning
• Parametric learning

The target variable is represented along

• Y axis
• Either Y-axis or X-axis, it doesn’t matter
• Depends on the dataset
• X axis

There is no upper bound on the number of the independent variable(s).

• True
• False

An artificially intelligent car knows if to brake or not based on its distance from the car in front of it. Logistic regression algorithm is used.

• True
• False

Threshold value is 0.5. h(x) = 0.7 for a particular instance. What is the value of y?

• 1
• 0.3
• 0.7

In majority voting, the winning class gets more than half of the total votes.

• True
• False

The original boosting method requires a very large training sample

• True
• False

Which of the following statements is not an objective of Information Gain?

• Decision Trees algorithm will always tries to minimize Information Gain
• It is used to decide the ordering of attributes in the nodes of a decision tree
• Information Gain of certain event is the discrepancy of the amount ofinformation before someone observes that event and the amount after observation
• It tries to determine which attribute in a given set of training feature vectors is most useful for discriminating between the classes to be learned

39. Which one of the following applications is not an example of Naïve Bayes algorithm?

• Stock market forecasting
• Text classification
• Sentiment analysis
• Spam filtering