Machine Learning (Concept Learning)

_______ is the subset of objects or events defined over a larger set.

• Entropy

• Hierarchy

• Concept

• Learning

In hypothesis representation, what is the meaning of the symbol ' ? '

• No value is acceptable

• Any value is acceptable

• Selected values are acceptable

• None of the above

Positive examples of the data set are called as _________

• hypothesis

• Target concept

• non members of the concept

• members of the concept

The goal of concept learning is to find __________

• hypothesis

• training data set

• testing data set

• concept

Data set which has d binary features contains ______ concepts

• 
  

  $2^d$

• $2^{2^d}$

• $4^d$

• $4^{2^d}$

Which statements is/are true related to Find - s algorithm

• considers both positive and negative samples

• considers only positive samples

• includes version space

• No way to determine whether the hypothesis is consistent or not.

In Find-s algorithm, if the attribute value is matched with hypothesis value, what action has to be done?

• No action. keep the value as it is.

• replace it by ?

• replace it by $

• re phrase the entire hypothesis

________ is the simplest supervised machine learning algorithm used for classification based on how its neighbors are classified.

• ANN

• KNN

• SVM

• Clustering

How to choose the value of K in KNN?

• Take the square root of the total data point available in the dataset.

• Take the mean of the total data point available in the dataset.

• Take the variance of the total data point available in the dataset.

• Take the standard deviation of the total data point available in the dataset.

______ is the process of dividing datasets into different categories or groups by adding labels.

• Regression

• Clustering

• Classification

• K-means