Classification and Regression Quiz

How many categories of classification models are there?

• two

• three

• four

• five

Answer explanation

There are three categories of classification models, making the correct answer choice 'three'.

Which algorithm determines the weight of arc?

• back propagation algorithm

• front propagation algorithm

• linear propagation algorithm

• all of the above

Answer explanation

The correct algorithm that determines the weight of an arc is the back propagation algorithm.

Bayesian methods are also termed as?

• belief

• unsupervised

• supervised

• oriented

Answer explanation

Bayesian methods are also termed as 'belief' because they involve updating beliefs based on evidence.

What is the accuracy of logistic regression model in most cases?

• higher

• moderate

• lower

• unpredictable

Answer explanation

Logistic regression models typically have higher accuracy in most cases compared to other models.

How are attributes selected in neural network?

• automatically

• by using methods

• randomly

• user generated

Answer explanation

Attributes in neural networks are selected by using methods, such as feature selection techniques, to determine the most relevant and informative features for the model.

Regression model deals with what values?

• variables

• random

• numerical

• attribute.

Answer explanation

Regression model deals with numerical values, as it aims to predict a continuous outcome based on the relationship between variables.

Which node receives the input values of explanatory attributes?

• input

• output

• hidden

• Selective

Answer explanation

The input node receives the input values of explanatory attributes in a neural network, making it the correct choice for this question.

The observations are termed as

• instances

• values

• attribute

• target

Answer explanation

The term 'attribute' refers to the observations in a dataset, making it the correct choice in this context.

The behavior of biological system in neural network is intended to ?

• simulate

• predict

• analyze

• Arrange

Answer explanation

The behavior of biological system in neural network is intended to simulate, meaning to imitate or replicate the functions of a biological system within the network.

In the graph of bayesian method, the node corresponds to what variables?

• unpredictive

• predictive

• stochastic

• constant

Answer explanation

In the graph of bayesian method, the node corresponds to stochastic variables, which are random variables that can take on different values with certain probabilities.