Genpact - Ml Assessment 1

What is

Machine learning?

• The autonomous acquisition of knowledge through the use of manual programs

• The selective acquisition of knowledge through the use of computer programs

• The autonomous acquisition of knowledge through the use of computer programs

• The selective acquisition of knowledge through the use of manual programs

Discovering

hidden patterns in any given data is what kind of learning algorithm?

• Unsupervised Learning: Clustering

• Supervised Learning: Classification

• Reinforcement Learning

• Unsupervised Learning: Regression

What

type of Machine Learning Algorithm is suitable for predicting the dependent

variable with two different values?

• Logistic Regression

• Linear Regression

• Multiple Linear Regression

• Polynomial Regression

The

correlation in between mobile usage and exam score of a person found to be

-2.2. What is your inference from the above statement?

• Mobile

  usage is positively correlated with exam score

• Mobile

  usage is negatively correlated with exam score

• None of

  the mentioned

• Need

  some other information

Suitable

evaluation metric for measuring the performance of a given regression model

is

• A. Root Mean Square Error

• B. Precision

• C. Recall

• Both B and C

If we

decrease the input variable by one unit in a simple linear regression model.

How many units of the output variable will change?

• reduced

  by Intercept

• increased

  by Intercept

• increased

  by Slope

• reduced

  by Slope

The

difference between the actual Y value and the predicted Y value found using a

regression equation is called the

• slope

• residual

• outlier

• scatter plot

Which

statement about outliers is true?

• outliers

  should be identified and removed from a dataset.

• outliers should be part of the training dataset but should not be present in the test data.

• outliers should be part of the test dataset but should not be present in the training data.

• The nature of the problem determines how outliers are used.

The

correlation coefficient for two attributes is 0.90. What does this value tell

you?

• the attributes are not linearly related.

• as the value of one attribute increases the value of the second attribute also increases.

• as the value of one attribute decreases the value of the second attribute increases.

• the attributes show a curvilinear relationship.

If two

variables, xand y, have a very strong linear relationship, then

• there is evidence that x causes a change in y

• there is evidence that y causes a change in x

• there might not be any causal relationship between x and y

• None of these alternatives is correct