Machine Learning

FIND-S algorithm ignores ______.

• 1. Negative

• 1. Positive

• 1. With positive or negative

• 1. Neither positive nor negative

Which of the following is a limitation of the FIND-S algorithm?

• 1. It can handle noisy data effectively

• 1. It can only find the most specific hypothesis

• 1. It is computationally expensive

• 1. It requires a large amount of labeled data

________ is not a supervised ML algorithm.

• 1. K-means clustering

• 1. SVM for classification

  2. problems

• 1. Decision Tree

• 1. Naive Bayes

Which type of data is used in supervised learning?

• Unlabeled data

• Labeled data

• Both

• Neither

What is the primary goal of machine learning?

• To manually program computers

• To enable systems to learn from data

• To simulate human intelligence

• To enhance computer hardware speed

Which of the following is NOT a common machine learning task?

• Classification

• Regression

• Sorting

• Clustering

A model performs well on training data but poorly on test data. This is called____

• Underfitting

• Overfitting

• Insufficient data

• Testing data errors

What is the primary goal of regression in machine learning?

• To classify data

• To predict continuous values

• To cluster data

• To reduce dimensionality

What is the primary goal of unsupervised learning?

• To label data

• To classify data

• To find patterns in unlabeled data

• To split data

What distinguishes reinforcement learning from other learning paradigms?

• The use of labeled data

• Learning from unlabeled data

• Learning through rewards and penalties

• None of the above